Business Intelligence & Data Management
Companies store terabytes of data. Yet, it is rarely analyzed with the rigor required for critical decision-making, either due to lack of "bandwidth", focus, or know–how. This is where our experts come in.
Proliferation in data volumes, complexity of data sources along with real–time information requirements demand fresh approaches to designing business intelligence solutions and related data management strategies and solutions.
The challenges of designing high performance BI solutions that meet the varying and evolving demands of businesses require exceptional skills and that is where we partner with our clients.
Our Technology services practice engages and collaborates with customers on various transformation initiatives committed towards value realization and typically the initiatives are strategy led
Performance Management
Defining strategy, translating strategy to measurable objectives and effectively managing performance requires careful integration, using a set of metrics, processes and tools.
Data Management & Data Warehouses
With complex data sources and explosion in data volumes, need for real time & operational analytics impact the Core Data Architecture, Strategy for Data Integration, Hardware Platforms, Storage Systems, Tool Selection, Data Modeling etc. Fresh approaches like Data Federation, Virtual DW’s etc. are required to scale the Data Warehouse gracefully and optimize performance along side the conventional strategies like ETL.
Business Analytics
The goal of high-end business analytics is to turn individually useful, but often marginalized data resources, into something that lets business managers immediately grasp the dynamic state of their business. Our domain expertise in Health care & Financial services enable us to provide high end analytics to our customers.
Technology Selection
Today’s marketplace is crowded with numerous vendors and products, often with competing claims. With many new entrants and varying degrees of product maturity, cutting through the maze is never easy. We help our customers take the right decision and travel through the complex tool selection process.
Information Quality
Many Business Intelligence initiatives fail due to poor data quality. It is important to define data quality from the customer's perspective and then define architecture and processes to effectively manage this.
Managing BI Environments
Building a solution is only one part of the story. A right environment is critical to effect transformation by utilizing this information efficiently and effectively. This includes understanding critical success factors, ensuring management support, identifying risks and preparing mitigation plans and putting in place proper data governance and stewardship programs.
