Big data is huge and that’s the main issue for Warehouse Managers who are trying to use it. Big Data contains trillions of data points and variables. The warehouse managers ignore analysing some variables such as global economic patterns and bring diverse knowledge to light.
Do not worry, that is precisely why we’re here. We’ll talk about types of data, how to store it, backing up & funding. We will help you in every step of the process.
Your business stack throws off huge amounts of data, much of which is ignored for analysis or improperly stored. Research shows that it is possible to analyse only 10 per cent of this data in its raw form. We can help you to exploit the data to turn freemium consumers to pay and find insights hidden deep inside the customer knowledge.
PValue provides automatic data backup. There’s no need for manual backup. You have full control on when your back up should happen. You can just set it up and then focus on other things which needs your attention. You don’t have to worry about hackers because our back up is secured by state of the art technology.
Easily access your data directly from your web browser using common languages like SQL, R, and Python. We make it easy to build, train and deploy advanced-capable machine learning models. We have out-of-the-box models designed specifically to identify users likely to convert or simplify group users by behaviour to take action for each cluster.
Users communicate with you using different computers, in different time zones, with consumer IDs from multiple applications and create streams of structured and unstructured data. PValue solutions use new data analysis tools, technologies and resources to harness these data and provide you with results which you can use to make decisions.
Your business lives and dies by acquiring and retaining customers, but the data that helps you understand these critical factors is stuck in several silos like Customer Relationship Management, web analytics, mobile analytics, commodity analytics, transactional databases, third party networks, Enterprise Resource Planning and many other silos. To keep up with the customers you should store their data.