Smart business application

Project Title

Smart business application

Project Area of Specialization Artificial IntelligenceProject Summary

• Everyone on the business side and in the IT department wants quality, rarely is the extra time given or taken to achieve it because quality and effort are polarized constraints.
• Higher quality requires more effort and thus more time to deliver.
• Since time factors drive most organizations, effort is their number one constraint (highest priority), followed by scope, budget, and resources (usually in that order); and quality gets pushed to the bottom of the heap (lowest priority)everyone on the business side and in the IT department wants quality, rarely is the extra time given or taken to achieve it because quality and effort are polarized constraints.
• Higher quality requires more effort and thus more time to deliver. Since time factors drive most organizations, effort is their number one constraint (highest priority), followed by scope, budget, and resources (usually in that order); and quality gets pushed to the bottom of the heap (lowest priority)

Project Objectives

• Objective of Smart Business Application (SBA) is to  provides specialist data, intelligence and insight to businesses and professionals, helping them make better decisions, gain competitive advantage and enhance return on investment.
•  Smart Business Application (SBA) is to reduce manpower, save time and take accurate decision in minimum time

Project Implementation Method

A BI architecture can be deployed in an on-premises data center or the cloud. In either case, it contains a set of core components that collectively support the different stages of the BI process, from data collection, integration, storage and analysis to data visualization, information delivery and the use of BI data in business decision-making.

Benefits of the Project Faster analysis, intuitive dashboards

BI platforms are designed to do heavy-duty processing of data in the cloud or on your company’s servers. BI tools pull in data from multiple sources into a data warehouse, and then analyzes the data according to user queries, drag-and-drop reports, and dashboards.

Increased organizational efficiency

BI platforms are designed to do heavy-duty processing of data in the cloud or on your company’s servers. BI tools pull in data from multiple sources into a data warehouse, and then analyzes the data according to user queries, drag-and-drop reports, and dashboards.

Data-driven business decisions

Having accurate data and faster reporting capability provides for better business decisions

Improved customer experience

Business intelligence can directly impact customer experience and customer satisfaction. 

Improved employee satisfaction

IT departments and analysts spend less time responding to business user requests. Departments who didn’t have access to their own data without contacting analysts or IT can now jump into data analysis with little training. BI is designed to be scalable, providing data solutions to departments who need it and for employees who crave data.

Trusted and governed data

BI systems enhance data organization and analysis. In traditional data analysis, different departments’ data is siloed and users have to access several databases to answer their reporting questions. Now, modern BI platforms can combine all of these internal databases with external data sources such as customer data, social data, and even historical weather data into one data warehouse. Departments across an organization can access the same data at one time.

Increased competitive advantage

Organizations can be more competitive when they know the market and their performance within the market. Rosenblatt Securities analyzed data from hundreds of sources and was able to see the best possible time to enter and exit the market and position themselves strategically.

Technical Details of Final Deliverable

The Application Design should follow the Model-View-Controller (MVC) model for rendering and modeling data objects. The interface must be able to connect to a database to store XML schema defined using XSD and data streams. Source and destination formats for data must include XML and may also include: Extensible Style sheet Language Transformation (XSLT), JavaScript Object Notation (JSON), Comma Separated Value (CSV), and American Standard Code for Information Interchange (ASCII).

Final Deliverable of the Project Software SystemCore Industry FinanceOther Industries Education , IT , Agriculture , Media , Others , Health , Security Core Technology Artificial Intelligence(AI)Other Technologies Cloud Infrastructure, Shared Economy, Others, Big DataSustainable Development Goals Good Health and Well-Being for People, Quality Education, Decent Work and Economic Growth, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	36980
API	Equipment	1	15000	15000
bindings	Miscellaneous	3	700	2100
Printing	Miscellaneous	500	10	5000
Cloud Account	Equipment	1	14880	14880