ExistBI’s predictive analytics consulting team help customers create a predictive analytical ability using a framework that figures out patterns in your historical information, while searching for new opportunities to decrease costs and increase profits.
The aim of predictive analytics is to predict future behavior or events using current and historical information. It has been around for a long time, yet organizations are still unsure of what it is or where it fits into their data strategy. This is mostly because it depends on the quality of the information available and whether it is in a well-designed data warehouse.
Predictive analytics offers more advanced reporting and business analytics, and it requires reliable and well-established data and information governance. ExistBI’s framework takes the best of the industry-standard CRISP-DM (CRoss-Industry Standard Process for Data Mining) and applies an ‘agile’ overlay to make it more responsive for internet-paced market changes.
Our flexible approach ensures models remain current and effective, even for near real-time analytics. This avoids the trap of spending too long on building models in concrete only for them to quickly degrade as the business world around them changes.
Companies in a wide range of markets including manufacturing, e-commerce, retail, financial services, energy, utilities and mining, telecoms, pharmaceuticals and healthcare use their data proactively to gain multiple benefits. These include:
Using predictive analytics, companies can:
More successfully up-sell, cross-sell and retention through personalized consumer engagement.
Identify Market Trends | Create Personalized Offers | Optimize sales resources
Let our data consultants help leverage your data for your predictive analytics projects so you can improve operations, save money and increase revenue.
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ExistBI Team2023-08-01 08:00:002023-09-13 11:22:43Boyd – Data warehouse delivers unified view and decision-making
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ExistBI Team2023-07-31 08:00:332023-09-14 08:34:04Process Insights – Analytics using Microsoft Azure SQL and Power BI
