Re-Shape your business with
big data analytics
Leverage big data analytics as your newest
The volume of terabytes of data being continuously generated and stored in data centres and databases of companies is increasing rapidly by the second. Across industries, these data sets become more difficult to manage when they grow with great velocity over time. The bulk of the information is unstructured or semi structured and is extracted from text files, videos, audio, and a variety of other sources and software formats. To manage these massive data sets more easily, businesses need to choose big data analytics.
Managing “integrated” big data guarantees more decision-making confidence and offers improved insights. Big data analytics supports better and quicker decision-making, modelling and outcome prediction, besides improved business intelligence.
Unlock more organisational value with big data insights from PredictiVu
PredictiVu’s big data analytics lets businesses drive transformation to a data driven culture. Using statistical analysis techniques, like clustering and regression, businesses can simplify the complex process of segregating relevant information from market trends, hidden data, unknown correlations, historical behaviour patterns, and customer preferences.
Businesses collect data from a range of sources, both organised and unstructured. Data warehouses store some of the data so that business intelligence tools and solutions may quickly access it. Excessive diversity in unstructured data may require metadata assignment and storage in a data lake. To produce correct results for analytical queries, data must be appropriately structured after it has been gathered and stored.
Our approach to big data analytics
PredictiVu employs stream processing for short batches of data and batch processing for large data blocks. So, once the data is ready, advanced analytics processes can convert big data into big insights. PredictiVu works with several such use cases to extract more value from organisational data, to drive predictive analytics and forecasting as key components of big data initiatives for clients. This will help businesses understand the future buying behaviour of customers and what customers want from them. This is crucial for companies to make timely strategic decisions for customer retention.