Enterprises need intelligent insights into customers, market conditions and the effectiveness of their business processes for devising strategies and making critical business decisions. Transforming Data into Information asset has become the key to be ahead of the competition. The volume and the complexity of the data has grown tremendously in the last decade and the growth is the expected to significantly accelerate in the coming years. All the major enterprises need to revisit their Data Management and Business Intelligence solution approaches to adapt to the needs of the new age business drivers

Scrumax Data Management and Analytics practice offers deep expertise in enterprise information management (EIM) that encompasses services like data integration, Reporting and Dashboarding, Metadata Management, Data Quality management, Advanced analytics and Big Data Integration. Scrumax helps businesses with all aspects of data management right from formulating strategy and roadmap, Architecting and implementing Data warehouse solutions, Implementing Metadata and Data Quality solutions, Metrics based Operations & Maintenance Support to meet business requirements.

---

---

Scrumax offers end to end Data management services that cover the entire cycle of enterprise information management. Scrumax has Data Management Practitioners who are specialized in Architecture, Design and Implementation of large Enterprise Data Warehouses for several Banking and Insurance customers.The right information architecture lays the foundation for the capture and use of your data for your enterprise goals. We have in house frameworks to assess your current information architecture and lay out a data strategy roadmap that would provide competitive advantage through cutting edge enterprise information management architecture aligning to your business needs.

BI — the need to get the most value out of information. This need hasn’t really changed in over fifty years (although the increasing complexity of the world economy means it’s ever harder to deliver). And the majority of real issues that stop us from getting value out of information (information culture, politics, lack of analytic competence, etc.) haven’t changed in decades either.A decade ago, the BI(Business Intelligence) market was consolidating as companies tried to standardize on fewer BI products that could be deployed throughout the organization. Times are changing. Cloud and mobile innovation and big-data exploration favor experimentation with a new generation of tools.The leadership team needs the right information at the right time or real time to sustain & beat the competition. They have limited time to review data in spreadsheet form to understand trends and gain insights. Visual depiction of Numbers and trends is important to view information with a context and enable quick decision making. Business Intelligence (BI) tools come into play for that purpose and help the users to create reports, dashboards and scorecards for their own analysis and also to present them in a visual format to the leadership team. There are many BI tools in the market such Business Objects, Cognos etc. These report tools have capabilities to enable self-service reporting to business users. IT groups will create the reporting framework or the universe with all the attributes needed by business for their reporting and allow business users to write their own reports. BI tool proliferation and report redundancy is a common issue in large Organizations. BI Infrastructure needs to be streamlined for business effectiveness and reduced BI spends. We have extensive experience and process frameworks to do BI tool and report rationalization resulting in huge saves for the customers.

Analysts have multitude of business scenario based questions that need be answered for building effective strategies and timely decision making. Its key to have a solid business Intelligence infrastructure to implement right analytical solutions to answer those questions. We have helped our customers to turn their data into predictive knowledge by combining domain expertise, statistical methods & technologies such as SAS and R.

Data is increasing in complexity as enterprises are looking for ways to exploit the value n non-structured data. An increasingly sensor-enabled and instrumented business environment is generating huge volumes of data. Conventional Date warehousing infrastructure is not able to meet the demands of this significant data explosion. Analytical algorithm complexity is also growing significantly in order to build competitive decision making capabilities – Data analysis needs more that SQL for growing business needs. Big Data is rapidly becoming the solution for these new age data problems.