DESC:TITLE: SYSTEM AND METHOD FOR BUSINESS TRANSFORMATIONAL ANALYTICS
FILED OF THE INVENTION
The invention generally relates to business performance monitoring and control through transformation analytics. More particularly, the present invention relates to a predictive industrial analytics system and method for business performance monitoring and controlling through Artificial Intelligence Based Actionable Insight Platform.
BACKGROUND OF INVENTION
Management is the process of organizing people and other resources to reach specific goals. Management of business performance is intended to meet defined business targets within a particular time frame. An assessment of performance management looks at the performance criteria and measures them against the targets. These metrics fall into broad categories that express how well the business is meeting long-term goals. Money is one of the major metric to attain the specific goal within a time frame thus affects the business performance if excessive amount of money is entrapped in any business operations.
Methodologies and frameworks are available with focus of cost reduction, but lack of system approach has efficiently measure, analyse and govern performances on hourly, daily and weekly basis and integrate engineering performances with Human Resource and budgeting performances and delivers timely alert to propagate inconsistency across value chain of construction and infrastructure projects. Further, most of the frameworks available to perform this analysis are very costly and time consuming and hence makes it is very difficult for the management to take right decision on right time thus affects the productivity and performance of the business.
Therefore, there is a need in the art for a system that could trace and release this entrapped unseen money “right that moment” basis leading to profit correction.
Therefore, there is a need in the art for a system that is very efficient and cost effective thus increases the performance and productivity of the business.

SUMMARY OF THE INVENTION
A system for a business transformational analytics (BTA) is disclosed. Said BTA system comprises an interface module that serves as a gateway through which one or more users can interact with the BTA system and allows the one or more users to: initiate one or more business transformational analytics and view the results of those analyses; instruct the BTA system to store information and retrieve the stored information; and identify, access, and view presentations, analysis information, and reports.
A measurement module performs Hourly/Daily/Weekly Detailed Data Collection, Gap Analysis, streamlining performances and Improvement Tracking. The measurement module incorporates 9 dimensions, and 6 different magnitudes of performance measurement mesh across levels of an organisation and delivers “ANY TIME” report for ground-level performance to top management inclusive of > 1000 descriptive analytical angles.
An analytics module performs one or more analyses using information and queries that are obtained from the one or more users and one or more performance indicator business transformational analytics based on predefined and manually configured performance indicator definitions and strategies over various time periods. The analytics module governs performances on an hourly/daily and weekly basis and integrates engineering performances with HR and budgeting performances to deliver timely alerts and propagate consistency across the value chain of a project, and ensures mapping of the performances against given targets, in addition to generate regular alerts against non-consistent performances.
A scorecard module facilitates: the delivery of performance report in monetary terms for middle-level management, display of ground-level performance severity scorecards, and route causes for senior management, the delivery of digital reports that assist top management to discover “Any Time” ground-level performance, the delivery of performances scorecards, communiqué (“official communication”) analysis, marketing analytics, price/conversion analytics and business reputation analytics.
A repository, that performs as a knowledge base of the system. The one or more elements of the BTA system may be distributed among one or more processing systems and/or clients in a network.
An environment in which the BTA system may be implemented is also disclosed along with the method of operation of the BTA system.
BRIEF DESCRIPTION OF THE DRAWINGS
Figure 1 illustrates an embodiment of the business transformational analytics system.
Figure 1a illustrates a block diagram of an exemplary environment compatible with the present invention.
Figure 2 a flowchart illustrates an embodiment of the method of working of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
Throughout this specification, the use of the word "comprise" and “include”, and variations such as "comprises" "comprising", “includes”, and “including” may imply the inclusion of an element or elements not specifically recited.
Figure 1 is a block diagram of an embodiment of a business transformational analytics (BTA) system (100), in which features and aspects consistent with the present invention may be implemented. The number of components in system (100) is not limited to what is shown and other variations in the number of arrangements of components are possible, consistent with embodiments of the invention.
The Business Transformational Analytics (BTA) System (100) disclosed here is a predictive industrial analytics system that includes artificial intelligence based actionable insight platform (AIP). The BTA system incorporates machine learning algorithms with provision for enabling internet of things (IoT). The system (100) serves various private to government owned organisations with company size from nano, micro, small, mid and large cap across manufacturing, service and government owned sectors globally and domestically.
As illustrated in Figure 1, the BTA system (100) comprises an interface module (101), a measurement module (102), an analytics module (103), a scorecard module (104) and a repository (105).
The user interface module (101) serves as a gateway or front end through which one or more users can interact with the BTA system (100). The User interface module (101) includes one or more Graphical User Interfaces (GUIs). The User interface module (101) may be an intranet website, an extranet website, or an Internet website, or a combination thereof. In certain implementations, the user interface module (101) may be distributed among a plurality of clients in client/server architecture. An exemplary architecture consistent with the invention is described below in connection with Figure 1a.
The user interface module (101) allows one or more users to initiate one or more business transformational analytics and view the results of those analyses. The user interface module (101) also allows the one or more users to instruct the system (100) to store information and retrieve the stored information. The User interface module (101) may also allow the one or more users to identify, access, and view presentations, analysis information, and reports.
The user interface module (101) provides features including, but not limited to, user authentication and validation, data access and searching, categorization, personalization options, data profiling, etc. In certain configurations, user interface module (101) may provide reporting and notification features, which may allow it to automatically retrieve and/or generate reports and deliver those reports to users (e.g., via e-mail, etc.) based on pre-configured settings. Additionally, user interface module (101) may be configured to deliver specific reports to users at predetermined intervals (e.g. hourly, daily, weekly, and monthly, etc.).
The measurement module (102) may perform Hourly/Daily/Weekly Detailed Data Collection, Gap Analysis, streamlining performances and Improvement Tracking. The unique feature is that it incorporates 9 dimensions, and 6 different magnitudes of performance measurement mesh across levels of organisation and delivers “ANY TIME” report for ground level performance to top management inclusive of > 1000 descriptive analytical angles.
The analytics module (103) performs one or more analyses using information and queries that are obtained from one or more users. The analytics module (103) may perform one or more performance indicator business transformational analytics based on predefined and/or manually configured performance indicator definitions and/or strategies over various time periods (e.g. hourly, daily, weekly, and monthly, etc.). The analytics module (103) also performs one or more analyses and governs performances on an hourly/daily and weekly basis and integrates engineering performances with HR and budgeting performances to deliver timely alerts and propagate consistency across value chain of construction and infrastructure projects. Inconsistency in performances across layers of supervisors to mid-management is communicated through alert systems ha ensure depicting actual ground level and mid management level performances to senior management to bring performance consistency as well as performance control. This module may ensures mapping of the performances against given targets and on regular basis generate alerts against non-consistent performances.
The scorecard module (104) comprises features including, but not limited to, delivery of performance report in monetary terms for middle level management, display of ground level performance severity scorecards, and route causes for senior management. The scorecard module (104) also delivers a digital report that assists top management to discover “Any Time” ground level performance. Further, the scorecard module (104) also delivers other functional reports like supplier performances scorecards, communiqué (“official communication”) analysis, marketing analytics, price/conversion analytics and business reputation analytics.
The repository (105) provides a knowledge base for the system (100). In certain embodiments, one or more of the modules may influence the repository (105) to perform their respective functions. The Repository (105) may be configured to provide data warehousing functions for the system (100). The repository (105) may be operable to store information, such as numeric information, textual information, audible information, and graphical information.
Figure 1a is a block diagram of an environment, compatible with the features and aspects of the present invention, and in which methods and systems consistent with embodiments of the present invention may be implemented. As illustrated in Figure 1a, the environment may include a client (106), a processing system (1000), and a network (107). The number of components in the environment is not limited to what is shown and other variations in the number of arrangements of components are possible.
The processing system (1000) may represent a server system or a personal computer system. The server may be a cloud server. The BTA system (100) may be implemented in the processing system (1000). Although depicted as being coupled to the processing system (1000), the repository (105) may be distributed among various systems and/or may be included in or coupled to the network (107). In certain embodiments, one or more elements of the BTA system (100) may be distributed among one or more processing systems and/or clients.
The network (107) may be the Internet, a virtual private network, a local area network, a wide area network, a broadband digital network, or any other appropriate structure for enabling communication between two or more nodes or locations. The network (107) may include a shared, public, or private data network and encompass a wide area or local area. The network (107) may also include one or more wired and/or wireless connections.
The client (106) may represent one or more devices used by the one or more users to access the network (107). In one embodiment, the client (106) may be similar in structure and functionality to the processing system (1000). The client (106) may include devices such as general-purpose computers, a personal computers (e.g., a desktop), workstations, mobile computing devices (e.g., laptops, PDAs, etc.), mobile communications devices (e.g., cell phones, tablets, etc.), or other structures that enable users to remotely access information.
Figure 2 is a flowchart depicting an exemplary method of operation of the BTA system (100) consistent with principles and aspects of the present invention.
As illustrated in Figure 2, a user may initiate a session (201) with a client device. In at least one example, a user may initiate a session with the client device via the user interface (101). Initiating a session may, in certain embodiments, involve user authentication and validation. Prior to gaining access to the system (100), a user may login to the system via client device by inputting login credentials to the client (106) via the user interface (101). The login credentials may include usernames, passwords, etc. The user interface (101) may perform user validation and authentication functions using the entered credentials.
Once the user gains access to the BTA system (100), the user may initiate a query (202); for example, a user may enter a command or selection via the user interface (101) that initiates one or more actions by the BTA system (100). The command or selection may select a particular business process to analyse, request one or more information views, and/or initiate one or more business process analyses. The command or selection may be transmitted over the network (107) to the processing system (1000) and may initiate performance of a desired action by the BTA system (100).
Once the user initiates a query and that query is received by the BTA system (100), the desired action may be performed (203) by the system (100); for example, the system (100) may perform one or more analytics operations. The BTA system (100) may perform such analytics using information obtained from one or more sources, information stored in the repository (105), and/or information received from the user.
After performing the desired analysis, the BTA system (100) may present the results of that analysis (204) to the user. In one example, the user interface module (101) may present a graphical representation of the analysis results to the user via a display device of the client (106). In certain embodiments, the user may retrieve or view the results by selecting criteria, such as at least one performance indicator. Upon viewing the analysis results, the user may drill-down to more specific details and/or obtain broader views of business process performance by viewing analysis results on an aggregated basis.
The BTA system (100) shall now be illustrated with the following examples:
Example 1:
In the construction industry, the BTA system (100) follows long term system approach with focus of ensuring organizational current efficiency (financial definition is profit per employee) does not lag below 90%, thereby assuring current revenue per employee or profit per employee ratio does not lag below potential revenue per employee or profit per employee.
The BTA system (100) facilitates to prepare the analytics reports such as monthly and quarterly performance, and ground reality diagnosis including comparatives analysis reports.
The BTA system (100) facilitates to find the gaps in material utilization and develop the intelligence report for material utilization. Following are the steps to find the gaps in material utilization:
• Compilation of data for estimation, issuance, and actual consumption of materials required for all floors of the buildings under construction as per data template;
• Conversion of the data into per square feet format, if the areas of buildings are in different formats; and
• Finding the gaps using four angles approach, with the four angles being Excess Material Utilization, EI Index (based on estimation value (E), issued value (I), and actual consumption (A)), and Wing-wise analysis and Comparative Analysis.

The BTA system (100) facilitates to find the quality issues using two methods such as Loss Analytics and Complaint Analytics.
Following steps are performed in Loss Analytics:
1. Finding out the maximum number of issues that happen across different sites;
2. Observing different issues for each area and pointing out frequent incidences;
3. Finding out the reason for the frequent occurring of the incidences;
4. Finding frequently occurring incidences with high cost;
5. Rating (10-100) issues found out for each area according to cost and frequency;
6. Arriving at a Vital Factorization Threshold (VFT) value;
7. Colour coding the different range of VFT’s
Above 450000 - Red
280000-450000 - Amber
150000-280000 - Green
60000-150000 - Cream
10000-60000 - White
0-10000 - Black
8. Proceeding to reduce number of issues to find very important issues;
9. Finding highly effective issues with respect to cost and frequency;
10. Finding the combination of issues which are highly effective with respect to cost and frequency in different areas;
11. Finding the issues which have maximum success % rate to maintain the quality; and
12. Maintaining regular check sheet and regular monitoring sheet on daily basis.

The BTA system (100) facilitates to perform process gap monitoring and performance based monitoring. Here, people’s performances are synchronized across organization value chain. This facilitates continual improvement by scoring them periodically and maps key performance indicator (KPI) with individual learning curve with the support of artificial intelligence and also machine learning algorithms.
The BTA system (100) provides visual alert system for site to site, site to building, building to supervisor/Engineer performances of the company/organization across metrics. It tracks the material utilization status, project delivery status and part comparison and also predict the forecast based on historical and live data assessments.
With the enavlement of internet of things (iot), BTA system (100) compares the interval to interval performances in terms of hours, parts, or intervals depending upon the area of project. It traces the performances of sites and generates “alerts” to be escalated to senior/top management about site which fails to achieve target. It provides the reports and graphical demonstration for slab-wise comparison, excess material utilization and comparative report for building vs area.
The BTA system (100) gives a quick access to the minute details of the ground level real time performances at any time, any moment to the executive-level authorities. It delivers descriptive results (min, max, average, percentile etc), graphical representation (line chart etc.) for within and between comparison and tabular result in severe, mild severe and highly severe categories and also statistically validate it and provide “actionable insight” for decision making.
The scorecard module (104) can be used by supervisors to keep track of the execution of activities by the staff within their control and to monitor the consequences arising from these actions. The scorecard module (104) tracks the Supervisor/Engineer-level performances on internal basis. It captures excess cost (Eg. Delay, Rework, Material, Quality etc) incurred to the company/organization due to inefficient performance of the Supervisor/Engineer etc. Supervisors/Engineers are monitored on the basis of targets to be achieved and in case where the target is not being achieved, it generates an alert. By alerting management to areas where performance deviates from expectations, they can be encouraged to focus their attention on these areas. It displays reports in tabular form as well as in graphical form. Similarly, the scorecard module (104) facilitates to assess vendor performances against key factors and score them accordingly based on their efficiency.
Further, the BTA system (100) facilitates to perform Pricing/Conversion analytics, Marketing analytics, Communication analytics and Reputation analytics.
Example 2:
In the retail industry, the BTA system (100) acts as a product tracking system where the system keeps track of the product performances. The system shows where the product lies and where it is heading to. Here the system (100) relies on the principle of segregating the product, department, and category on their individual sale amount, profit margin, sales volume, inventory, and their aging. Evaluation of these products on their individual performances helps to arrive at the specific products which act as the highest sales raising entity and validate it with predictive statistical modeling. The product performances are mapped with the salesforce performance in each category of products and analyse the gap between current sale of products by the salesforce and the potential sale.
The data used in the system (100) are Purchase Data, Inventory data, and sales data of previous quarters. The system categorizes the products into three sections such as high performance products, mid performance products, and low performance products. The steps involved in the product performance analysis are as follows:
1. Fetching the data and calculating the difference in product purchase date and product sales date to arrive at the ageing value, which is the number of days the given product was in inventory prior to selling;
2. Calculating the total purchase quantity and amount using database queries on purchase data;
3. Subjecting the ageing induced sales data to database and fetch it through queries to generate the department-wise segregation of sales volume, sales amount, and ageing, followed by calculation of Profit margin and Inventory;
4. Performing core analysis of product performance management at the department, category, sub category and up to product-level;
5. Analyzing high performing department if number of departments is more than eight;
6. Using Percentile system to find values of Percentile (10 to 90) for sales amount, sales quantity, ageing, profit margin, and inventor, which are then used to convert variables (i.e. sales amount, sales quantity, ageing, inventory and profit margin) into scale of 1 to 10;
7. Formulating the converted variables together to form a Product Performance Analytics (PPA) by giving weightage to each variable and multiplying them with the scale of each variable, arranging the PPA values in descending order, and discarding all the departments below a threshold value (e.g. P (5));
8. Performing Category, Sub-Category and product-level analysis with same procedure as that for department;
9. Converting the PPA code of products into %PPA of each product, which is subsequently converted into %cumulative PPA;
10. Finding the percentage distribution for High-Medium-Low Products (For e.g. (50-30-20) with the help of statistical model building;
11. Checking the probability of best combination with highest business impact;
12. Marking the Products above cumulative 50% as High selling products, Products falling between 50-80% as Mid Selling Products, those below 20% as Low selling products;
13. Deriving the data of Sale of products by salesman;
14. Mapping the total sale of product salesman-wise with high selling – mid selling – Low selling products;
15. Calculating the count and sum of number of products sold by sales man to map the performance of product;
16. Calculating the percent total volume and amount of sale, which is further utilized to predict the potential sale of product as compared to actual;
17. Assigning the target value for each salesperson according to high medium and low, which ultimately streamlines the sales performance and sales volume of each product; and
18. Scaling the intangible losses in operating cost and recovering the losses by implementing measures to reduce such losses.
The BTA system (100) provides segregation of products on the basis of its 360 degree performance and provides a list of product which comes under high-mid-low performers. This plays a key role in reducing the inventory in the warehouse by eliminating low valued products.
The scorecard module (104) of the system monitors the performance of supervisor and the individuals under him on the basis of the type of product sold. This scorecard (104) can serve as a performance indicator for the sales of the company, which, in turn, is based on the company’s Salesforce. It monitors the performance of each Supervisor on the basis of how his subordinates perform. The salespersons working under him have to perform under certain targets which impact the total sale and performance of products. The salesperson performance is evaluated on the basis of sale, inventory, and ageing of products. They are gauged by giving a score and comparing the performance of each individual in the team of supervisor. The total score of all the salespersons under supervisor marks the performance of supervisor. This scorecard assists the supervisor to precisely find the gaps in performance of his team.
The BTA system (100) gives deep insights into the performance of a whole outlet in one go. The performance of each department is evaluated on the basis of metrics which are predefined. The performance of salespersons and products is reflected department-wise. This helps in evaluating performance of one department against another department. It also helps in direct cross checking of the performance of each metric in each department. The score of each department is summed up to fetch one single score for the given week. The system also gives direct information on the best performing and lowest performing weeks.
Further, the BTA system (100) provides visual alert for department to department, department to metric, department to week, and week to week performances of the company across metrics. Red dots indicate the highly severe metric, department or week. The excess costs incurred can be traced by the severity score specified to the department. The mid management level can monitor the performance of each department on real-time basis.
The BTA system (100) also helps to perform incentive analytics which maps the performance of the salesforce on the basis of products sold and their individual contribution in the total sales of the company every month and the incentives allotted to the sales force should be on the basis of their overall performances; ageing analysis that gives a deep insight on which are the least performing products, top 5 performing product, bottom 5 performing products on the basis of ageing; discount analytics that gives best discount suggestions for owner or retailer for specific product based on their performance category; review in elevator analytics is the dynamic system which gives a quick access to the minute details of the company at any time any moment to the executive level authorities; and market basket analytics which helps to understand customer purchase behaviours (or buying pattern of customer) and to determine what items are frequently bought together and to see what the highest purchased products in combinations are; and also contains inventory management tool too.
Example 3:
In the Information Technology industry, the BTA system (100) acts as a/but not limited to lean transformation system, an asset management system, and a bench management system etc.
The BTA system (100) as the lean trnasformation system helps to: improve turnaround time performance by identifying which agent or how many agents do not meet the target in given time limit and maximum number of times (Season wise/Process wise/Tenured wise) the target has not been achieved; improve Quality performance by identifying which agent/ how many agents do not meet the target of Quality maximum number of times (Season wise/Process wise/Tenured wise); minimize number of complaints (Daily/Weekly/Monthly and Season wise/Process wise/Tenured wise); study how many agents from respective processes are efficient across Primary Skills (Within/Between Process); reduce the % non-billable agents; minimize Downtime due to server incidences in processes and improve productivity; know how many agents meet turnaround time with 100% quality and work for less than 8 hours; and monitor the planned and unplanned leaves availed by everyone.
The BTA system (100) as the asset management system helps to: optimize the costs on technology and software; monitor resource utilization which helps in operational budgeting (Total Seats v. Occupied Seats) and auditing; minimise the load on the server and reduce the incidences when server is busy (Sever Volume-wise analysis); and ensure effective utilization of Server by understanding and reducing variation (daily and weekly).
The BTA system (100) as the bench management system helps to: reduce the cost of excess resources assigned to bench using competency mapping; and check how many high-level agents do not meet the target.
The scorecard module (104) helps to identify score for each agent and account and also keeps a track of metric performance for low-level management. This helps to assess performances not as a part, but for the company as a whole.
A dynamic dashboard in the user interface module (101) keeps track on agents as well as accounts which agents have not been able to achieve the target consistently. Hence, the higher authority can monitor the performance of all metrics for all agents and accounts simultaneously. BTA system is a system that ensures performance efficiency of any IT process/account/vertical/tower or company as a whole does not lags behind threshold value (80-90%) of business efficiency. This tracking system otherwise generate an alert with causal analysis and provide solution tracking management to fix any efficiency related issues.
Example 4:
In the manufacturing industry, the BTA system (100) facilitates to: diagnose, analyse performance entitlement and streamlining, analyse the business performance, manage the business lever, monitor, control, streamline, report, and maintain company/organization level efficiency and healthy bottom-line.
During diagnosis, the BTA system (100) facilitates to perform pre-diagnostic studies in various defined areas to identify gaps related to the problems in given areas. This can be done by the senior management and technical members of various departments. This helps in finding key areas for efficiency enhancement.
During performance entitlement and streamlining analysis, the BTA system (100) helps to identify the current position of the project, defects in the process, the target to reach, and helps to decide a goal for the project.
During business performance analysis, the BTA system (100) facilitates to identify the trends/patterns of the performance output and the causes due to which the problem has occurred.
During business lever management, the BTA system (100) facilitates to: identify the 20% causes that impact 80% of the problems, to convert causes in to metrics to gauge performance on the same prioritized causes on daily/weekly basis, and select targets for micro levers to measure defects in process. It also incorporate Artificial intelligence to help companies identify important causes considered by industry for a given problem.
During monitoring, the BTA system (100) facilitates to find solutions for obtained vital causes with help of artificial intelligence and for any inconsistent performance it delivers alerts to appropriate authorities. (i.e. to whom the alerts have to be sent and when).
During controlling, the BTA system (100) facilitates to: understand whether performance has crossed control limit specifications, find sigma value for each month to understand where the performance is standing against the goal, know the performance management system of ground-level individuals against the set goals, and to understand monthly performances of managers that are mapped with appraisals. This will ensure managers understand where they are standing against their expected goals at any given time in a year. So, they will be able to understand how much improvement they need to ensure for better appraisal results.
During streamlining, the BTA system (100) facilitates to: understand which micro lever has maximum impact on overall efficiency or operating profit, understand which metric has which control range to ensure the performance of that metric lies in that range, and upgradation of targets after 6 to 8 months.
During reporting, the BTA system (100) facilitates: to know how much losses the current performance is causing and mapping of current business performance with budgeting performance, in solution strategizing, review and monitoring plans to ensure who is supposed to be accountable and responsible, who is supposed to be informed in case of any contingency of deploying the solutions, to know the monthly performance review, to generate summary of monthly performance review across areas, and facilitates the top management to understand the ground-level performance at any given time. The system also provide additional platform that incorporate any available data that need to be understood for company level performance. BTA system builds regression models against the data to understand important factors and its association with big “Y”, i.e. bottom line performance and also predict factorial behaviour in near future and also build alert and solution tracking system to ensure control on performance of any factor. BTA system also develops a project/assignment tracking system from the time of project allotment to project delivery with the help of alert management.
Example 5:
In the domain of politics, the BTA system (100) performs demographic analytics, election performance analytics, campaign management analytics, psephology (opinion poll) analytics, and fund management analytics.
During demographic analytics, the BTA system (100) performs various analysis on voters’ list based on gender, age, religion, caste, key family members, and key individuals right up to the page level. This analysis is done at micro level which gives a clear picture of voting pattern of individuals in a given area. This plays a key role in strategizing the action plan for upcoming elections.
During election performance analytics, the BTA system (100) focuses on booth level performance analysis for general and legislative elections. The analysis maps the performance from best performing booth to weak performing booth on the basis of high performer to weak performer across the booth. If data for gram panchayat, panchayat samiti is also available, all this data can be further added up in analytics. In area analysis, analytics such as geographical distribution of voters, total percentage of voting across talukas and comparison of performances across booths are performed. In own party performance in previous terms analysis, the analysis such as taluka-wise analysis, “gan”-wise analysis, performance of a party for top 3 and bottom 3 level analysis, booth-wise position analysis, and significant low vs average vs significant high analysis are performed. In the opposite party analysis, the analysis such as position of opponent in top 3 and bottom 3 position, polling station where the opponent is ahead, evaluation of places where the opponent is ahead, and areas where opponent other than top 2 candidates secure more than 50% of votes are performed. In the strategic analysis, the analysis such as expected lead in this area, and strategies to be considered for the particular year are performed. In the performance evaluation of candidate analysis, the analysis such as percentage of votes for each candidate, for each polling station, and the rank of each candidate in each polling station is performed.
In campaign management, the BTA system (100) facilitates to find booth level problems across communities, facilitates solution building and solution tracking across booth, provides alert system if any task has not been completed in deadline (red booth management). It will also provide options to incorporate root cause analysis and rectification through solution tracking system.
The psephology (opinion poll) analytics facilitates to find the actions taken against village level, booth level and community level problems. In the fund management analytics, the BTA system (100) tracks the money allotment gaps during election to seal the money allotment gaps for achieving the optimum utility of budget.
It will be apparent to a person skilled in the art that the above description is for illustrative purposes only and should not be considered as limiting. Various modifications, additions, alterations and improvements without deviating from the spirit and the scope of the disclosure may be made by a person skilled in the art. Such modifications, additions, alterations and improvements are to be construed as being within the scope of this disclosure.

List of reference numerals
100 – Business Transformational Analytics System
101 – User Interface Module
102 – Measurement Module
103 – Analytics Module
104 – Scorecard Module
105 – Repository
106 – Client
107 – Network
1000 – Processing system
201 – User Session initiation
202 – Query
203 – Analysis
204 – Report

,CLAIMS:1. A system for a business transformational analytics (100), said system (100) comprising:
an interface module (101) that serves as a gateway through which one or more users interact with the system (100) and allows one or more users to: initiate one or more business transformational analytics and view the results of those analyses; instruct the system (100) to store information and retrieve the stored information; and identify, access, and view presentations, analysis information, and reports;
a measurement module (102) that performs Hourly or Daily or Weekly Detailed Data Collection, Gap Analysis, performance streamlining, and Improvement Tracking, said measurement module (102) incorporating nine dimensions and six different magnitudes of performance measurement mesh across the various levels of an organisation to deliver a report for ground-level performance to top management at any time, said report being inclusive of more than 1000 descriptive analytical angles;
an analytics module (103) that performs one or more analyses using information and queries that are obtained from the one or more users and one or more performance indicator business transformational analytics based on predefined and manually configured performance indicator definitions and strategies over various time periods, said analytics module (103) governing performances on an hourly or daily or weekly basis and integrating engineering performances with HR and budgeting performances to deliver timely alerts and to propagate consistency across the value chain of a project, in addition to ensuring mapping of performances against given targets and generating regular alerts against non-consistent performances;
a scorecard module (104) that facilitates: the delivery of performance reports in monetary terms for middle-level management; the display of ground-level performance severity scorecards, and route causes for senior management; the delivery of a digital report that assists the top management to discover the ground-level performance at any time; the delivery of performances scorecards; the analysis of official communications; marketing analytics; price/conversion analytics; and business reputation analytics; and
a repository (105) that performs as a knowledge base of the system (100);
wherein one or more elements of the system (100) are distributed among one or more processing systems (1000), one or more clients (106), or both one or more processing systems (1000) and one or more clients (106) in a network (107).

2. A system for a business transformational analytics (100) as claimed in claim 1, wherein the interface module (101) further facilitates user authentication and validation; data access and searching; categorization; personalization options; and data profiling, reporting, and notification, and is configured to deliver specific reports to users at predetermined intervals.

3. A system for a business transformational analytics (100) as claimed in claim 1, wherein the interface module (101) is a cloud hosted web/mobile app/device based platform.

4. A system for a business transformational analytics (100) as claimed in claim 2, wherein the predetermined interval includes hourly, daily, weekly, and monthly.

5. A system for a business transformational analytics (100) as claimed in claim 1, wherein the various time periods include hourly, daily, weekly, and monthly.

6. A system for a business transformational analytics (100) as claimed in claim 1, wherein the processing system (1000) is a server.

7. A method of operation of the system for a business transformational analytics (100) as claimed in claim 1, comprising the steps of:
initiating a session (201) using a client device by a user via the user interface (101);
initiating a query (202) by the user via the user interface (101) that initiates one or more actions;
performing the desired analytics action based on artificial intelligence and machine learning algorithms (203) by the system (100) using information obtained from one or more sources, information stored in the repository (105), and information received from the user;
presenting the results (204) of the analytics action to the user via the user interface module (101); and
viewing the analysis results on an aggregated basis to obtain business process performance.

8. A method of operation of the system for a business transformational analytics (100) as claimed in claim 7, wherein the user logs in to the system (100) via client device by inputting login credentials.

9. A method of operation of the system for a business transformational analytics (100) as claimed in claim 8, wherein the login credentials include username and password.