Data Management & Real-time Analytics

Data Management & Real-time Analytics

Does your enterprise have access to high-quality, accurate data that is integrated and readily accessible? Confronted by challenges of migration, integration, changing regulatory compliance and technology convergence, companies struggle to seamlessly manage and standardize the entire data lifecycle. A robust data management solution provides clarity for effective decision making, better risk management, lower operational cost and better analytics.

Turn your data into an asset you can rely on in times of critical decision making. Trust VST as your data management partner to comprehensively address your evolving data management requirements.

Customer-Centric Business Engagement Framework

Our data management and analytics services ensure that you have timely access to high quality data—data that is relevant, complete, and accurate—helping you gain competitive advantage. Our dedicated Center of Excellence for BI/DW and data management services leverages industry-leading Extract/Transform/Load (ETL) and Extract/Load/Transform (ELT) tools. We use ETL/ELT tools to design and populate analytic databases such as data warehouses, data marts and operational data stores.

We have dedicated Center of Excellences (CoEs) on key technology platforms including Business Objects, Microsoft BI, Informatica, Data Stage, Hyperion, SAS, and Microsoft SSIS.

Data Quality Management

Errors in data need to be removed before various data sources can be integrated and analyzed. Our data quality management services help detect and remove data glitches so that you always have clean, trustworthy data for analysis.

Master Data Management

Business entities such as customer and product can have different definitions across departments. Through master data management, we iron out these differences to create a single system of record that gives complete and standardized information about your business.

Data Modeling

We analyze the various entities and relationships in the data before arriving at the most suitable data model that addresses your information needs. Data modeling serves as a road map for implementing an enterprise data warehouse.

Data Warehouse Development

We design and build enterprise data warehouses (DW) by integrating data from various Online Transaction Processing (OLTP) systems so that you have a consolidated view of your business data. Ad hoc queries and multidimensional analysis can be reliably executed on this data.

Data Migration

We provide a host of data migration services, including migration of legacy systems, integration of new systems with data warehouses, upgradation and maintenance of data warehouse applications, and production support for existing enterprise data warehouses.

Data management is the implementation of policies and procedures that put organizations in control of their business data regardless of where it resides. It minimizes the risks and costs of regulatory non-compliance, legal complications and security breaches. It also provides access to accurate data when and where it is needed, without ambiguity or conflict, thereby avoiding miscommunication.

Any kind of business data is subject to data management principles and procedures but it is particularly useful in rectifying conflict among data from duplicative sources.

Organizations that use cloud-based applications in particular, find it hard to keep data orchestrated across systems.

Common approach to data management is to utilize a master data file, called Master Data Management (MDM). This file provides a common definition of an asset and all its data properties in an effort to eliminate ambiguous or competing data policies. Benefits of data management include enhanced compliance, greater security, improved sales and marketing strategies, better product classification; and improved data governance to reduce organizational risk(s).

Tools We Use

Data Analytics

Unlock the true potential of your data to drive insightful business decisions.

Our data analytics solutions empower organizations to mine data for relationships and trends. Through advanced analytics, business leaders can identify patterns in consumer behavior, assess market developments, and predict future results with improved precision.

How will data analytics help your business?

The possibilities for applying data analytics in your business are endless. Here are a few common use cases our data analytics consulting team has implemented. Each industry and organization have different needs to make processes more efficient, products more exciting and customers more engaged. Business analytics help organizations reach for their goals by identifying patterns within the data.

Depending on the goals of the organization, consultants can work with company to determine which type of analytics will maximize their performance.

Descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics all have their place in the workplace. They all work together to tell stories and help leaders make informed decisions.

Get insights from the data you already have, fast. Our elite cross-functional teams bring the agility of a startup and the scalability of an industry leader to you.

Industries

Our data analytics consulting services team is a hard working and experienced group of data experts who will get the job done. We pride ourselves on our company culture based on CTL+BE — community, transparency, learning, builders, and excellence. We work hard to earn your respect by getting excellent work done efficiently.