A system and a method for providing a business analytics maturity framework

Abstract

A method (100) for providing a business analytics maturity framework is disclosed The method include providing, a leadership factor with management variable to receive a data from a senior level managers. The method also includes providing, an analytics variable for generating an analytics strategy for analyzing relevant data, activating, by a business case variable, business applications and actionable insights from the analyses, providing, by a system variable of an information technology factor, an information agenda, providing, a talent variable of a human capital factor, providing, a structural variable to pursue collective goals of an organization, managing, by a governance, the use of business analytics resources in an enterprise, determining, a plurality of emerging technologies and building archetypes by a use case variable of an analytics catalyst, practicing, advocacy, and consistently fostering a positive acceptance of change, and achieving, by an analytics translator variable of an analytics catalyst, an organizational growth.

Description

[0001] A SYSTEM AND A METHOD FOR PROVIDING A BUSINESS ANALYTICS MATURITY FRAMEWORK

[0002] EARLIEST PRIORITY DATE

[0003] This Application claims priority from a complete patent application filed in India having Patent Application No. 202441001973 filed on 10th day of January 2024 and titled A SYSTEM AND A METHOD FOR PROVIDING A BUSINESS ANALYTICS MATURITY FRAMEWORK.

[0004] FIELD OF INVENTION

[0005] Embodiments of a present disclosure relate to the field of business and marketplaces and more particularly to a system and a method for providing a business analytics maturity framework.

[0006] BACKGROUND

[0007] The term digitalization, in an organization, is generally related either to products or to services offered by the organization. Digitalization may also refer to an online experience delivered to customers, by the organization. But in modern times, the concept of digitalization has gone far beyond digitalizing products and services offered by the organization. The rise in digital technologies and the use of data has transformed many industries globally. Digital technologies enhance decisionmaking, by improving the intelligence quotient of an organization and result in enhanced performance. In this digital era, intelligence is represented as the function of data and its analysis which is termed as data analytics, such that meaningful insights can be generated to attain a competitive advantage. Data analytics is also referred to as business analytics due to the integration between data access, affordable digital technologies, and business outcomes. The business analytics market in India is expected to continue its growth trajectory with the increasing digitization of businesses and adoption of emerging technologies like big data, artificial intelligence and machine learning. Currently, the existing systems and methods are facing challenges in implementing business analytics (BA) in global market as well as regional market such in India. The challenges includes availability, accessibility, and quality of a data in business environments. Additionally, data may be incomplete or inconsistent, requiring data cleansing and normalization efforts. Organization structure, hierarchy and siloed departments may pose challenges in implementing analytics initiatives. Developing markets with a huge population of Small and Medium Enterprises (SMEs) have challenges around dedicated resources and budget availability thereby limiting their ability to invest in analytics capabilities. Current systems and methods have lack of industry-specific analytics expertise. Further, for enterprises ensuring compliance with cyber security, regulatory and privacy concerns may be a challenging activity.

[0008] Hence, there is a need a system and a method for providing a business analytics maturity framework which addresses the aforementioned issues.

[0009] OBJECTIVE OF THE INVENTION

[0010] An object of the present invention is to provide a method for providing a business analytics maturity framework for identifying applicability of factors from the previously developed business analytics maturity frameworks that can be incorporated for a region-specific maturity framework.

[0011] Another objective of the present invention is to provide a significant contributor of the analytical maturity by influencing the vision, strategy, management, and business cases.

[0012] Yet, an objective of the present invention is to provide a significant contributor of analytical maturity by affecting the governance, culture, and structure.

[0013] Further, an objective of the present invention is to provide analytics catalyst as a significant contributor of the analytical maturity by influencing the organizational use cases, advocacy & analytics translators. BRIEF DESCRIPTION

[0014] In accordance with one embodiment of the disclosure a method for providing a business analytics maturity framework is provided. The method includes providing, a leadership factor with management variable to receive a data from a senior level managers. The method also includes providing an analytics variable for generating an analytics strategy and a direction for analyzing relevant data from the data received. Further, the method includes activating, by a business case variable, business applications and actionable insights from the analyses. Furthermore, the method includes providing, by a system variable of an information technology factor, an information agenda for enabling business analytics initiatives to drive potential outcomes. Furthermore, the method includes providing, a talent variable of a human capital factor, wherein the human capital refers to an aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value, wherein the talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how. Furthermore, the method includes providing a structural factor comprising a plurality of structures to meet a requirement or to pursue collective goals of an organization. Furthermore, the method includes managing, use of a business analytics resources in an enterprise by a governance and assigning rights to the enterprise for decision-making and reviewing the business analytical resources and capabilities of the organization. Furthermore, the method includes determining a plurality of emerging technologies and building archetypes by a use case variable of an analytics catalyst. Furthermore, the method includes practicing, advocacy, and consistently fostering a positive acceptance of change. Furthermore, the method includes achieving, by an analytics translator variable of an analytics catalyst, an organizational growth by considering data architects, visualization pros, and data engineers.

[0015] In accordance with another embodiment, a system for providing a business analytics maturity framework is provided. The system includes a processing subsystem hosted on a server and configured to execute on a network to control bidirectional communications among a plurality of modules. The plurality of modules includes an input module. The input module is configured to receive data from a senior level management. The input module includes a loading module, an activation module, an aggregation module, a structural module, and an analysis module. The loading module is configured to load the data from a senior level managers using analytics strategy variable for providing analytics strategy and a direction for analyzing the relevant data. The activation module is operatively coupled with the loading module. The activation module is configured to activate business applications and actionable insights from analyses using a business case variable. The activation module is also configured to enable an information agenda for enabling business analytics initiatives to drive potential outcomes using a system variable of an information technology factor. The aggregation module is operatively coupled with the activation module. The aggregation module is configured to aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value using a talent variable of a human capital factor. The talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how. The structural module is operatively coupled with the aggregation module. The structural module includes a structural variable of an organization factor and a governance factor. The structural variable includes a plurality of structures to meet a requirement or to pursue collective goals of an organization. The governance factor is configured to manage the use of business analytics resources in the enterprise, assign the rights for decision-making and review the business analytical resources and capabilities of the organization. The analysis module is operatively coupled to the input module. The analysis module is configured to determine emerging technologies and building archetypes by using a use case variable. The analysis module is also configured to practice evangelism and consistently foster a positive acceptance of change in use of technologies using an advocacy variable. Further, the analysis module is configured to achieve organization growth considering data architects, visualization pros, and data engineers using an analytics translator variable. To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.

[0016] BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:

[0018] FIG. 1 is a flow chart representing steps involved in of a method for providing a business analytics maturity framework in accordance with an embodiment of the present disclosure;

[0019] FIG. 2 is a block diagram representing to a system for providing a business analytics maturity framework in accordance with an embodiment of the present disclosure;

[0020] FIG. 3 is a block diagram representing an exemplary embodiment of the business analytics maturity framework of FIG. 2 in accordance with an embodiment of the present disclosure; and

[0021] FIG. 4 is a block diagram of a computer or a server for the system for providing a business analytics maturity framework of in accordance with an embodiment of the present disclosure.

[0022] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

[0023] DETAILED DESCRIPTION

[0024] For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.

[0025] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures, or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.

[0027] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

[0028] Embodiments of the present disclosure relate to a method for providing a business analytics maturity framework is provided. The method includes providing, a leadership factor with management variable to receive a data from a senior level managers. The method also includes providing an analytics variable for generating an analytics strategy and a direction for analyzing relevant data from the data received. Further, the method includes activating, by a business case variable, business applications and actionable insights from the analyses. Furthermore, the method includes providing, by a system variable of an information technology factor, an information agenda for enabling business analytics initiatives to drive potential outcomes. Furthermore, the method includes providing, a talent variable of a human capital factor, wherein the human capital refers to an aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value, wherein the talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how. Furthermore, the method includes providing a structural variable of an organization factor including a plurality of structures to meet a requirement or to pursue collective goals of an organization. Furthermore, the method includes managing, use of a business analytics resources in an enterprise by a governance and assigning rights to the enterprise for decision-making and reviewing the business analytical resources and capabilities of the organization. Furthermore, the method includes determining a plurality of emerging technologies and building archetypes by a use case variable of an analytics catalyst. Furthermore, the method includes practicing, advocacy, and consistently fostering a positive acceptance of change. Furthermore, the method includes achieving, by an analytics translator variable of an analytics catalyst, an organizational growth by considering data architects, visualization pros, and data engineers.

[0029] FIG. 1 is a flow chart representing steps involved in a method (100) for providing a business analytics maturity framework in accordance with an embodiment of the present disclosure. The analytics leads an organization to the top. The method (100) integrates existing data with a new data and store the data in a central repository. In one embodiment, the data is related to a plurality of employees of an organization or an enterprise. In another embodiment, the data may include an image data, speech data, text data, and the like.

[0030] The method (100) includes providing, a leadership factor with management variable to receive a data from a senior level managers in step (102). In one embodiment, the analytics maturity of an organisation depends on the outlined strategy as well as the level of executive leadership and support. The method (100) also includes providing an analytics variable for generating an analytics strategy and a direction for analyzing relevant data from the data received in step (104). In one embodiment, a data is one of the key non-negotiable prerequisites for an effective analytics strategy.

[0031] Further, the method (100) includes activating, by a business case variable, business applications and actionable insights from the analyses in step (106). The method (100) includes implying an adoption of business analytics and data-driven decisionmaking within different business units and functions, throughout the organization via a by a vision variable.

[0032] Furthermore, the method (100) includes providing, by a system variable of an information technology factor, an information agenda for enabling business analytics initiatives to drive potential outcomes in step (108). The method (100) also includes studying, a real value of the data to address problems and potential of data to utilize in development of the organization. The method (100) also includes allowing the organization to access, manage, and analyze data.

[0033] Furthermore, the method (100) includes providing, a talent variable of a human capital factor, wherein the human capital refers to an aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value, wherein the talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how in step (110). In one embodiment, the human capital refers to the aggregate stock of competencies, knowledge, and social and personal attributes embodied in the ability to create intrinsic and measurable economic value. It is also commonly referred to as ‘talent’ in the industry.

[0034] The method (100) also includes providing skills variables comprising a plurality of skills, including technical skill, business skill, entrepreneurial skill, and managerial skills. The method (100) includes training, continuously in order to update the plurality of skills to stay relevant to the business needs by using a training variable. In one embodiment, the plurality of skills may include technological skills, business skills, and management skills.

[0035] Furthermore, the method (100) includes providing a structural variable of an organization factor comprising a plurality of structures to meet a requirement or to pursue collective goals of an organization in step (112). In one embodiment, one of the most important components of an analytics maturity framework is the organization factor to support analytics initiatives. In one embodiment, a plurality of common structure is competency centre focussed on the business analytics (BA) practice and helping build the right solutions for the organization.

[0036] Furthermore, the method (100) includes managing, use of a business analytics resources in an enterprise by a governance and assigning rights to the enterprise for decision-making and reviewing the business analytical resources and capabilities of the organization in step (114). In one embodiment, the governance also deals with the continuous review of the business analytical resources and capabilities of the organisation, so that the changes in the dynamic business environment can be effectively managed, as well as managing the organisations’ resistance to change. In one embodiment, the importance of organisational culture involves influencing the way of making decisions in an organisation, with an inclination for quality and performance measures, management support level for adopting BA and the extent to which BA is embraced within the business tasks. Furthermore, the method (100) includes determining a plurality of emerging technologies and building archetypes by a use case variable of an analytics catalyst in step (116). The method (100) also includes speedily raising, raise the level of solutions for enterprises and customize the same for the Indian market environment.

[0037] Furthermore, the method (100) includes practicing, advocacy, and consistently fostering a positive acceptance of change in step (118). The method (100) also includes focusing on the value of analytics and communicating the same, to create a compelling motive for change.

[0038] Furthermore, the method (100) includes achieving, by an analytics translator variable of an analytics catalyst, an organizational growth by considering data architects, visualization pros, and data engineers in step (120). The method (100) also includes the performing, data analysis for reliability, using a Cronbach Alpha Coefficient, wherein is a way of measuring reliability of consistency of the data.

[0039] FIG. 2 is a block diagram representing to a system (200) for providing a business analytics maturity framework in accordance with an embodiment of the present disclosure. The system (200) includes a processing subsystem (202) hosted on a server (204) and configured to execute on a network (206) to control bidirectional communications among a plurality of modules. In one embodiment, the server (204) may include a cloud server. In another embodiment, the server (204) may include a local server. In one embodiment, the network (206) may include a wired network such as a local area network (LAN). In another embodiment, the network may include a wireless network such as Wi-Fi, Bluetooth, Zigbee, near-field communication (NFC), infrared communication (RFID), or the like.

[0040] Further, in another embodiment, the network (206) may include both wired and wireless communications according to one or more standards and / or via one or more transport mediums. Furthermore, in one example, the network (206) may include wireless communications according to one of the 802.11 or Bluetooth specification sets, or another standard or proprietary wireless communication protocol. The 802.11 is a family of evolving specifications for wireless local area networks (WLANs) developed. In yet another embodiment, the network (206) may also include communications over a terrestrial cellular network, including, a GSM (global system for mobile communications), CDMA (code division multiple access), and / or EDGE (enhanced data for global evolution) network. The plurality of modules includes an input module (208). The system (200) performs integration of existing data with a newly inputted data in a central repository (220).

[0041] The input module (208) is configured to receive data from a senior level management. The input module (208) includes a loading module (210), an activation module (212), an aggregation module (214), a structural module (216), and an analysis module (218).

[0042] The loading module (210) is configured to load the data from a senior level management using analytics strategy variable of a leadership factor for providing analytics strategy and a direction for analyzing the relevant data. In one embodiment, the leadership factor implies an adoption of business analytics and data-driven decision-making within different business units and functions, throughout the organization via a vision variable.

[0043] The activation module (212) is operatively coupled with the loading module (210). The activation module (212) is configured to activate business applications and actionable insights from analyses using a business case variable of leadership factor. The activation module (212) is also configured to enable an information agenda for enabling business analytics initiatives to drive potential outcomes using a system variable of an information technology factor. In one embodiment, the information technology factor is configured to study a real value of the data to address problems and potential of data to utilize in development of the organization. Th information technology factor is also configured to allow the organization to access, manage, and analyze data.

[0044] The aggregation module (214) is operatively coupled with the activation module (212). The aggregation module (214) is configured to aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value using a talent variable of a human capital factor. The talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how.

[0045] The structural module (216) is operatively coupled with the aggregation module (214). The structural module (216) is configured to meet a requirement or to pursue collective goals of an organization factor by using a plurality of structures to a structural variable. The structural module (216) is also configured to manage the use of business analytics resources in the enterprise, assign the rights for decisionmaking and review the business analytical resources and capabilities of the organization by using a governance factor. In one embodiment, the organization factor includes a culture variable configured to systematically collect, assess, and disseminate data and influence the decision making in the organization. In one embodiment, the culture variable is defined as the tacit and explicit norms, values, behaviours, and patterns developed over time within the organisation.

[0046] The analysis module (218) is operatively coupled to the input module (208). The analysis module (218) is configured to determine emerging technologies and building archetypes by using a use case variable. The analysis module (218) is also configured to practice evangelism and consistently fostering a positive acceptance of change in use of technologies using an advocacy variable. Further, the analysis module (218) is configured to achieve organization growth considering data architects, visualization pros, and data engineers using an analytics translator variable. In one embodiment, the analysis module (218) includes analytics catalysts which are a set of factors uniquely developed for the Indian industry and are not available in any global analytics maturity framework. Inclusion of analytics catalyst provides a better outcome vs. a framework without the analytics catalyst factor. In one embodiment, the analysis is performed for reliability, using a Cronbach Alpha Coefficient. The Cronbach Alpha Coefficient is a way of measuring reliability of consistency of the data. FIG. 3 is a block diagram representing a system for providing a business analytics maturity framework (300) of FIG. 2 in accordance with an embodiment of the present disclosure. In one embodiment, the present disclosure is developed and validated a business analytics (BA) maturity framework is designed specifically for Indian enterprises. The system and method is developed for but not limited to Indian enterprises. In one embodiment, there are five factors in BA maturity (354) framework. Each factor has a plurality of variables. The five factors are leadership (332), information technology (334), human capital (336), organisation (338), and analytics catalyst (340).

[0047] In one embodiment, the leadership factor (332) includes vision variable (302), strategy variable (304), management variable (306), and a business case (308). In one embodiment, the vision variable (302) includes a top-down approach for triggering BA in an organisation. This approach implies adoption of BA systems and a data-driven decision-making within the different business units and functions, throughout the organisation. Support from top management and leadership implies promotion of enhanced use of BA technology and does not just rely on the reporting and visualisation of existing technology. In one embodiment, firms that have a clear and well-defined analytics strategy (304) and a road map have higher business analytics capability levels compared to organisations that have a tactical approach to the competency. In one embodiment, the management variable (306) is needed in the top-down leadership and executive support that needed to drive an analytics agenda within an organisation are critical to the BA capability levels of a firm. The ability and support from the top management as well as senior managers is crucial for infusing the passion for business analytics within an organisation. In one embodiment, the business case variable (308) activates business applications and actionable insights from analyses. The main focus is on improving performance. BA provides decision-making answers. These solutions provide important analysis and pointers that facilitate decisions thereby fuelling profit growth. Further, considering Return-on-Investment (ROI) when employing data analytics, the ROI is the most critical component. The ROI provides decision support on the measure of analytics needed for a given problem. The ROI-driven data analytics provides simple and useful pointers while also bearing in mind the cost and value of the analyses thereby ensuring empirical data is not over-examined.

[0048] In one embodiment, the information technology factor (334) includes data variable (310), systems variable (312), and a policy variable (314). In one embodiment, the data variable (310) enables a technology defined as an ecosystem that allows for the storage and processing of data inputs using multiple hardware and software processes, such as extract, transform and load (ETL) and governance capabilities, either internally or through partner systems. A data management is an important aspect of BA, since effective integration and quality data management are vital for its success. User data may be extracted from the operating systems and must be effectively transformed to meet the organisational needs for data and information. Data management includes the extraction of data from both internal and external sources, including internal business functions and external third-party sources. Data warehousing, such that the integration of existing data with the new data is well- integrated and stored in the central repository. In one embodiment, the system variable (312) includes a clear information agenda that may enable business analytics initiatives to drive the necessary outcomes. The business analytics systems should not be considered in isolation or as an independent capability but should be made an integrated and inter-woven aspect of the information systems of the organisation so that their use is facilitated. Big data and analytics information agendas are visions and road maps that can align IT with analytics and business needs. The IT agenda spans information governance policies and tools and data architecture. In one embodiment, the policy factor (314) is the functionality provided by the technology ecosystem that allows the organisation to access, manage, and analyse data effectively and efficiently.

[0049] In one embodiment, the human capital (336) factor includes talent (316) variable, skills (318) variable and training (320) variable. The talent variable (316) is a critical driver in building a competitive advantage and helping organisations innovate with analytics. Talent capability refers to the competence to deliver business analytics in a big data environment. Talent capability for business analytics is a combination of technical skills, technology understanding, business knowledge, and domain know-how. As data becomes more available, the ability to analyse and drive insights from data is becoming more critical. This requires skills (318) factors such a human skills and expertise that are extremely dynamic and ever-increasing. Human skills in the business analytics domain include technological skills, business skills, and management skills. These skills also emphasise the importance of being able to translate and communicate insights and values to the executives in an organisation. The BA initiatives are highly knowledge-intensive, and thus, need a variety of skills, including technical, business, entrepreneurial, and managerial skills. The BA is dynamic and requires talent to continuously update their skills to stay relevant to the business needs. Additionally, BA being technical, resources need to have the ability to understand the domain requirements on an ongoing basis to deliver outcomes for their stake holders and need training (320) to update the skills.

[0050] In one embodiment, the organization (338) factor includes a governance variable (322), a culture (324) variable, and a structure (326) variable. In one embodiment, many organisations suffer from poor prioritisation, execution, and alignment practices and hence end up with a backlog of analytics projects. Therefore, the organisation needs to ensure that the resources are utilised in a way that aligns with organisational priorities. Hence, there is a need to have effective business analytics project governance (322) variable that aligns analytics programmes with business requirements. The governance (322) variable is a way to manage the use of the business analytics resources in the enterprise, as well as assigning the rights for decision-making, so that alignment between the business analytics and organisational objectives becomes possible. In one embodiment, the organisations are defined as social units of people and systems that are structured and managed to meet a need or to pursue collective goals. There are multiple structure variables (326) that may support business analytics. A centre of excellence is one of the most prominent ones in many organizations. The centre of excellence (COE) is a centralized analytics unit that enables efficient sharing of analytic resources. The central unit is based on accessible competences pre-existing in various internal verticals of organizations, across divisions and diverse segments of business. A prime role of Firms should be to consider establishing a COE that would consistently work towards establishing reliable enterprise strategy and standards around various elements such as IP ownership, tools, languages, regulatory issue, and the like. The culture variable (324) is defined as the tacit and explicit norms, values, behaviours, and patterns that are developed over time within an organisation, and are used for systematically collecting, assessing, and disseminating data. Organisational culture is also a vital indicator since it makes the organisational resources, including people, receptive to change, which is a key ingredient of BA. An analytics organisation (department) is an ecosystem that is enabled by deep functional expertise and that provides access to data, tools and technology and fosters talent development to deliver business outcomes. It has the responsibility to govern and encourage an analytics culture across the company. Also, organisation factor contributes positively to Business Analytics capabilities that in turn deliver positive business performance.

[0051] In one embodiment, the analytics catalyst (340) factor includes use cases (328), advocacy (330), and translators (352). In one embodiment, the use cases (328) are vital resources for businesses for better pathways for applications and methods. In one embodiment, companies may need to evaluate best practices internally and also across partners from a wide cross section of industries to solve industry and domain focused challenges. The companies may need to build their capabilities to extract out of the box ideas across functions and transverse communities. It may be imperative to use originality for determining emerging technologies and build archetypes to solve these problems or address these opportunities. This may help enterprises to speedily raise the level of solutions and customize the same for the Indian milieu. Sharing capabilities and abilities with the exchange of knowledge may chart the path ahead. In one embodiment, the business analytics is often challenging, an art and a science. Success is possible by practicing advocacy (330), and consistently fostering a positive acceptance of change. There is immense benefit in accepting the magnitude of propagating the value of analytics. By focusing on the value of analytics and communicating the same, it is possible to create a compelling motive for change. The differentiating factor in the market for organizations lies in the manner of transformation that BA teams achieve. These enterprises exude achievement and are feted with recognition and value. In one embodiment, companies are aware of the fact that to achieve success in analytics needs more than merely hiring data scientists. A curious mix of data architects, visualization pros, and data engineers is the need of the day and thrown into the mix one realizes the need for data & analytics translators (352). These translators are that ones that propel organizations to achieve real growth. They combine technical expertise with business or domain knowledge and act as a common denominator between analytics and business.

[0052] In one embodiment, all the above factors are implemented to analytics maturity (342) framework. The effective outcome of building business analytics capability in Indian enterprises is likely to be in three key benefit areas. The benefits of analytics maturity (350) includes three areas. The first area is a financial (334) area which includes profitability, cash flow management and risk mitigation. The second area includes operating area (344) or shared services. The operating (336) area includes supply-chain optimisation, human-resource effectiveness, improving IT effectiveness and efficiency and mitigating cyber- security challenges. The third area includes customer and sales (348) marketing and customer management focused on acquiring and retaining customers, improving customer experience, marketing ROI optimisation and product-portfolio management.

[0053] FIG. 4 is a block diagram of a computer or a server for an ecosystem for procuring and managing marketplace services for a business in accordance with an embodiment of the present disclosure in accordance with an embodiment of the present disclosure. The server includes a processor(s) (402), and memory (406) operatively coupled to the bus (404). The processor(s) (402), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.

[0054] The bus (404) as used herein refers to be internal memory channels or computer network that is used to connect computer components and transfer data between them. The bus (404) includes a serial bus or a parallel bus, wherein the serial bus transmits data in a bit-serial format and the parallel bus transmits data across multiple wires. The bus (404) as used herein, may include but not limited to, a system bus, an internal bus, an external bus, an expansion bus, a frontside bus, a backside bus, and the like.

[0055] The memory (406) includes a plurality of subsystems and a plurality of modules stored in the form of an executable program which instructs the processor to the system illustrated in FIG. 1. The memory (406) is substantially similar for the ecosystem for procuring and managing marketplace services for a business of FIG.l. The memory (406) has submodules: an input module (208).

[0056] The input module (208) is configured to receive data from a senior level management. The input module (208) includes a loading module (210), an activation module (212), an aggregation module (214), a structural module (216), and an analysis module (218).

[0057] The loading module (210) is configured to load the data from a senior level management using analytics strategy variable for providing analytics strategy and a direction for analyzing the relevant data.

[0058] The activation module (212) is operatively coupled with the loading module (210). The activation module (212) is configured to activate business applications and actionable insights from analyses using a business case variable. The activation module (212) is also configured to enable an information agenda for enabling business analytics initiatives to drive potential outcomes using a system variable of an information technology factor.

[0059] The aggregation module (214) is operatively coupled with the activation module (212). The aggregation module (214) is configured to aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value using a talent variable of a human capital factor. The talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how.

[0060] The structural module (216) is operatively coupled with the aggregation module (214). The structural module (216) is configured to meet a requirement or to pursue collective goals of an organization by using a plurality of structures to a structural variable of an organization factor. The structural module (216) is also configured to manage the use of business analytics resources in the enterprise, assign the rights for decision-making and review the business analytical resources and capabilities of the organization by using a governance factor.

[0061] The analysis module (218) is operatively coupled to the input module (208). The analysis module (218) is configured to determine emerging technologies and building archetypes by using a use case variable. The analysis module (218) is also configured to practice evangelism and consistently foster a positive acceptance of change in use of technologies using an advocacy variable. Further, the analysis module (218) is configured to achieve organization growth considering data architects, visualization pros, and data engineers using an analytics translator variable.

[0062] Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read-only memory, random access memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. An executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (402).

[0063] Various embodiments of the present disclosure provides a system for providing a business analytics (BA) maturity framework for identifying applicability of factors from the previously developed business analytics maturity frameworks that can be incorporated for a region-specific maturity framework. The system as disclosed in present disclosure provides financial benefits which includes profitability, cash flow management and risk mitigation. The system disclosed in the present disclosure provides operations and shared services, including supply-chain optimisation, human-resource effectiveness, for improving IT effectiveness, efficiency and mitigating cyber- security challenges. The system disclosed in the present disclosure provides a sales marketing and customer management focused on acquiring and retaining customers for improving customer experience, marketing Return on Investment optimisation and product-portfolio management.

[0064] Further, the system disclosed in the present disclosure provides factors data variable, information technology factor, leadership factor which are responsible for driving BA maturity with a methodical framework or model deployed in the market. The system disclosed in the present disclosure, facilitates uniqueness of the market, use cases, analytics evangelization and data and analytics translators which provides customization of BA maturity model. The analytics catalyst factor of the present disclosure is a significant contributor of the analytical maturity in Indian firms by influencing the organizational use cases, advocacy & analytics translators. The organization factor of the present system is a significant contributor of analytical maturity in Indian firms by affecting the governance, culture, and structure.

[0065] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

[0066] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of processes described herein may be changed and is not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.

Claims

I CLAIM:

1. A method (100) for providing a business analytics maturity framework comprising: characterized in that: providing, a leadership factor with management variable to receive a data from a senior level managers; (102) providing, an analytics variable of the leadership factor for generating an analytics strategy and a direction for analyzing relevant data from the data received; (104) activating, by a business case variable of the leadership factor, business applications and actionable insights from the analyses; (106) providing, by a system variable of an information technology factor, an information agenda for enabling business analytics initiatives to drive potential outcomes; (108) providing, a talent variable of a human capital factor, wherein the human capital refers to an aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value, wherein the talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how; (110) providing, a structural variable of an organization factor comprising a plurality of structures to meet a requirement or to pursue collective goals of an organization; (112) managing, use of a business analytics resources in an enterprise by a governance and assigning rights to the enterprise for decision-making and review the business analytical resources and capabilities of the organization; (114)determining, a plurality of emerging technologies and building archetypes by a use case variable of an analytics catalyst; (116) practicing, by an analytics catalyst factor, advocacy, and consistently fostering a positive acceptance of change (118); and achieving, by an analytics translator variable of an analytics catalyst, an organizational growth by considering data architects, visualization pros, and data engineers. (120)2. The method (100) as claimed in claim 1, wherein the leadership factor comprises implying, an adoption of business analytics and data-driven decisionmaking within different business units and functions, throughout the organization via a by a vision variable.

3. The method (100) as claimed in claim 1, wherein the information technology factor comprises: studying, a real value of the data to address problems and potential of the data to utilize in development of the organization; and allowing the organization to access, manage, and analyze the data.

4. The method (100) as claimed in claim 1, wherein the human capital factor comprises: providing, skills variables comprising a plurality of skills, including technical skill, business skill, entrepreneurial skill, and managerial skills; and training, continuously in order to update the plurality of skills to stay relevant to the business needs by using a training variable.

5. The method (100) as claimed in claim 1, wherein the culture is defined as the tacit and explicit norms, values, behaviours, and patterns developed over time within an organisation.

6. The method (100) as claimed in claim 1, comprises integrating existing data with a new data and storing the data in a central repository.

7. The method (100) as claimed in claim 1, wherein the performing, data analysis for reliability, using a Cronbach Alpha Coefficient, wherein is a way of measuring reliability of consistency of the data.

8. A system (200) for providing a business analytics maturity framework comprising: characterized in that: a processing subsystem (202) hosted on a server (204), and configured to execute on a network (206) to control bidirectional communications among a plurality of modules wherein the plurality of modules comprises: an input module (208) configured to receive data from a senior level management wherein the input module (208) comprises: a loading module (210) configured to load the data from a senior level management using analytics strategy variable for providing analytics strategy and a direction for analyzing the relevant data; an activation module (212) operatively coupled with the loading module (210), wherein the activation module (212) is configured to: activate business applications and actionable insights from analyses using a business case variable; and enable an information agenda for enabling business analytics initiatives to drive potential outcomes using a system variable of an information technology factor;an aggregation module (214) operatively coupled with the activation module (212), wherein the aggregation module (214) is configured to: aggregate stock of competencies, knowledge, social and personal attributes embodied in the ability to create intrinsic and measurable economic value using a talent variable of a human capital factor, wherein the talent variable is a combination of technical skills, technological understanding, business knowledge, and domain know-how; a structural module (216) operatively coupled with the aggregation module (214), wherein the structural module (216) is configured to: meet a requirement or to pursue collective goals of an organization by using a plurality of structures to a structural variable of an organization factor; and manage the use of business analytics resources in the enterprise, assign the rights for decision-making and review the business analytical resources and capabilities of the organization by using a governance factor; and an analysis module (218) operatively coupled to the input module (208), wherein the analysis module (218) is configured to: determine emerging technologies and building archetypes by using a use case variable; practice evangelism and consistently fostering a positive acceptance of change in use of technologies using an advocacy variable; andachieve organization growth considering data architects, visualization pros, and data engineers using an analytics translator variable.

9. The system (200) as claimed in claim 1, wherein the organization comprises a culture variable configured to systematically collect, assess, and disseminate data and influence the decision making in an organization.

10. The system (200) as claimed in claim 1, comprising a central repository (220) to store an integration of an existing data with the data.

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