We are using, maintaining and commiting inside the following softwares
Reveal the Best Opportunities for Better Outcomes
In today’s high-stakes business environment, leading companies—enterprises that differentiate, outperform, and adapt to customer needs faster than competitors—rely on big data analytics. They see how the purposeful, systematic exploitation of big data, coupled with analytics, reveals opportunities for better business outcomes.
For mature organizations, data analytics—together with artificial intelligence (AI) and/or machine learning—is helping solve even more complex business challenges.
Focusses on capturing & integrating only structured data from various sources for analytical reporting, ad-hoc/structured queries & decision making. It cannot handle unstructured, raw or complex data.
A centralized repository that stores structured or unstructured data the way it is, without the structuring of data & supports processes like dashboard/visualizations, real-time analytics & ML for informed decisions.
ETL for Analytics
Data are retrieved from operational systems & pre-processed for analysis with EXTRACTION of data from databases, TRANSFORMATION that includes cleaning, filtering, validating rules & LOADING of data into a data warehouse
Manipulation & processing of data into usable form using a predefined sequence of operations done either manually or automatically to get meaningful insights enabling users to choose output that suits the requirement
Collaboration of technical and business processes to combine data from disparate sources and provide a unified view of data of the company's data assets for retrieval of meaningful & valuable information