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Strategy & Consulting Services

We identify and analyze our clients’ business requirements, recommend solutions and assist them in implementing these solutions successfully.

Strong Enterprise Information Architecture is needed for organizations to stay ahead of competition, and there is a need to continuously invest and innovate to attract buyers in the market. Effective use of data from internal and external sources plays an important role here. We offer the following strategy and consulting services to assist our clients in their new initiatives and help them envision and mature their information architecture.+ Read More

Warehouse Strategy Service
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While few organizations have legacy data warehouses, few others have data warehouses that are a couple of years old, and there could be few others that have been considering a brand new Enterprise Information Management (EIM) architecture. We understand both Greenfield and Brownfield implementations and work closely with business and IT teams to discover, analyze and strategize their future roadmap for new warehouse architecture. This includes Big Data management architecture where data is semi-structured, unstructured, or structured but unknown. Data could be in persistent, semi-persistent or non-persistent storage. Architectural principles that warrant minimum data movement but effective information delivery would be applied in the definition of the architecture.
The success of a BI/DW (Business Intelligence/Data Warehousing) solution deeply lies in the technology that is selected and used. This could vary across organizations, and hence, technology evaluation becomes an important pre-requisite for any EIM initiative. We conduct technology evaluation and rationalization to select the best set of technologies that align to their warehouse strategy.

Today, organizations treat data as their asset. Data has several characteristics like - its point of origin, its lifetime value, retirement age, dependency on other data, etc. Capturing all such data characteristics and creating an Enterprise Data Architecture definition is a critical success factor for any data initiative. Our data architecture team leverages industry best practices and frameworks such as The Open Group Architecture Framework (TOGAF) in enterprise data architecture definition. Data modeling differs across industries and could be done either as a Third Normal Form (3NF) or as a dimensional data warehouse. We have adopted various industry-standard 3NF data models and implement them for our clients. We also leverage our proprietary industry-specific data models defined as dimensional models for implementation.

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Reporting & Visualization Strategy Service
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Through this offering, we help identify interactive visual data formats that enables discovery of hidden patterns and trends in data, thereby offering accurate insights. Visual formats chosen could be naturally aligned to the industry verticals and the patterns displayed in their firmware. In addition, there are lots of reports to be relooked that are generated from operational and erstwhile data warehouse systems. We work closely with the business users, act as a thought partner to define a complete set of reports & visualizations, and data dissemination through a secure BI portal, and define the roadmap to realize them.

Power users need capabilities beyond reporting to perform Adhoc analysis. Online Analytical Processing (OLAP) models are built to allow slice and dice of data across various dimensions and look for data patterns. We empower end users to build-up their own analytical views by offering data mash-up capabilities and provide them self–service BI capabilities. We define dashboards and scorecards that help enterprises view and interact with data to measure, monitor and manage business decisions using both financial and non-financial parameters. We help organizations get an at-a-glance view of their operational, tactical and strategic information to make better business decisions.

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Data Integration Strategy Service
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Organizations use multiple internal systems specific to each business function. In addition, there could be a lot of external data received in form of structured and unstructured data from which information is to be extracted. Finally, the data extracted from these sources could be real-time data or batch-mode operations. We work closely with the business users to understand the need for all such data and work with IT teams to understand the underlying infrastructure. Using all these inputs, we define the data integration strategy and work out a roadmap. Data being a corporate asset, involves three key elements in its governance – people, process and technology. We work closely with business and IT teams to define a data governance policy.

Considering the quick growth rate of data warehouses and data marts, an archival policy becomes extremely important. Archival policy definition helps in retaining the right data online and archive the unused data. Curbing explosive data growth has become a challenge for organizations. If not done efficiently, business-critical data could go offline. Through robust data retention policies, inactive data can get intelligently relocated, while maintaining integrity and seamless access to information in future.

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Enterprise Performance Management Strategy Service
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Organizations monitor and track financial performance rigorously. Finance teams, with strong metrics and indicators, determine the financial health of organizations. Of late, organizations have begun adopting performance metrics and measurements for non-financial areas too. However, when the two measurement systems involved in the activity – those that plan data and those that provide the actual data - are disparate, consolidating data to produce metrics would be quite complex.

We help organizations build an integrated performance management system, which forms the backbone of their management operating system and serves as a foundation for an agile enterprise. Our performance management system delivers a balance of standard as well as flexible and customized services. This includes common definitions and calculations, common processes, and a common management information interface; as well as flexibility through Multi- Generally Accepted Accounting Principles (GAAP), International Financial Reporting Standards (IFRS) compliance and management reporting, scenario planning and analysis and alternate hierarchies (including entity and product roll-ups, workforce planning, sales planning and finance planning). We define financial consolidation plans for multi-entity organizations, taking into account the hierarchies and intercompany transactions. Data-quality issue resolution and generation of regulatory compliance reports are essential outcomes of enterprise performance management strategy.

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To stay ahead in a competition, organizations have to use predictive analytics that inform them about what can happen in future, based on past data. There are numerous advanced analytics techniques like Markovian methods and Bayesian algorithms that help in combining multiple parameters and defining a model that can predict future results, based on past data. We also take into account various business functions and their interdependence, external influencing factors, geographical spread of business and the past behavior, to define the analytics roadmap. Our analytics maturity assessment is a structured methodology that helps business and IT in providing their needs. Readiness of data, IT, business and technology is measured and presented. This helps organizations to decide on preparatory steps to align with their analytics roadmap. It is essential for organizations that have existing analytics architecture to periodically assess its maturity and identify areas of improvement. This helps them in comparing data and information needs of the business with what is delivered to them. We thoroughly review the existing information architecture landscape from a business and technical perspective, identify gaps and offer future recommendations.

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