Making Use of Master Data Management for Transforming Data into Business Outcomes!
Voluminous data from myriad sources of data and multiplying customer touch-points necessitate businesses to adopt an integrated strategy to harness data from legacy sources, traditional sources and new age sources in real-time. Data integration and data management are imperative for businesses to achieve faster, stronger and smarter decision making.
Big data has the potential to unlock hidden opportunities. We facilitate turning technology into optimal business outcomes by delivering business intelligence, information management, and analytic solutions.
The new buzzword in the information technology realm – Big Data!
Organizations witness a data explosion induced by exponential growth of devices and data. With the variety, velocity, and volume of data needed to be analyzed by businesses increasing, drawing insights from such huge data demands effective techniques that help validate, integrate, and glean relevant information.
Involving immense volume of data in structured and unstructured form, Big data proves too huge to process by traditional software and database techniques. Infogenx helps organizations in handling massive data while delivering superior performance.
Leveraging Big Data Through Faster Processing and Database Management
We offer big data solutions that help organizations to accomplish the twin objectives of enhanced operational efficiency and revenue maximization. Our big data services enable businesses to obtain the right customer insights, thus providing them an edge over others to achieve profitability.
Our Big Data Services Include
Infogenx provides end-to-end services that help you to process your enterprise’s big data in a smooth manner. Our services include but are not limited to the following
Data services are useful when organizations use a heterogeneous storage infrastructure, for example, when using Data as a Service (DaaS). In these situations data can be stored in many places and consumers of the data need ways to find and analyze the information they need without concern for the specific location of that data.
Data analysts collect, process and perform statistical analyses of data. Their skills may not be as advanced as data scientists (e.g. they may not be able to create new algorithms), but their goals are the same – to discover how data can be used to answer questions and solve problems.
Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions.