Analyzing large sets of data in real-time
Erisn provides data analytics services to to help organizations integrate and bring together large volumes of data and analyze the same leading to critical business decision making.
We are helping various enterprises to gain a competitive edge in this data-driven world with our data analytics services.
Business Shaped Solutions
Data Analytics & Reporting
Sales Analytics Services
Data Analytics And Reporting Include
Our team of experts helps enterprises in transforming vast amounts of unstructured data into a customizable and visualized report with different data sources.
Business Analytics Include
Sales Analytics Services Include
Few Reasons Why You Should Choose Us
Discover Frequently Asked Questions from Our Support
What is the role of Data Analytics?
The Data analysts manipulate data to help their respective organizations make decisions. Using different strategies from a range of content areas, mathematics, and data analysts make predictions followed by conclusions which throws light on future outcomes for business optimization.
How much time and resources are required?
The resources and time required for an analytics project is dependent on a number of diverse factors. The major factors are the scope and scale of the project, readiness and availability of required data, and knowledge of the analytical team. Erisn’s Consulting would be happy to provide you an estimate of the resources required to complete the analytics project.
What kind of data is needed for analysis?
The business should make sure that it captures its business and customer data in a structured manner. This will ensure that the company has all the relevant data in the most usable form. The data needs to be structured, cleaned and mined to make it usable. This step can take from hours to days to months depending upon the size and form of data.
What is data analytics used for?
Data analytics helps companies optimize their business or operational performance. Data analytics requirements vary by type of business and industry. The common types of analytics include customer analytics, marketing and sales analytics, supply chain analytics, product and IoT analytics.