In-Database Ad Hoc AnalyticsIDP delivers data-driven marketing solutions like ad hoc analytics, using ‘invasive’ data management and deep-dive data mining. Ad hoc analytics make visible what customers buy, how frequently and in what combinations. And empower marketers to anticipate behaviors, engage customers, reward loyalty, and retain loyal customers longer.

In-database ad hoc analytics combines in-database processing with deep-dive analytics and does all the above in seconds, instead of hours.

Benefits — In-Database Ad Hoc Analytics

Speed. Incredible speed. And the ability to accurately repeat analytics anytime — in seconds.

With in-database analytics, work efforts plunge from hours to seconds. Gone are data transfers across networks and desk-top data management. Instead, the data warehouse handles data management. Analytical data sets are created at the source; and analytics complete in seconds, not hours. In-database analytics gives marketers instant visibility into customer behaviors and purchasing patterns. Marketers control their data, their analytics and their marketing technology.

Challenges — In-Database Ad Hoc Analytics

In-database analytics require extensive in-database processing – drilling deep into transactions. The data management alone represents 75% of the analytics effort. These include joins, sorts and aggregations, and can easily include several hundred million data rows — significantly impacting the time required to generate analytics. And more than ever, marketers today depend on deep-dive analytics to engage customers. But marketers are frustrated by the latency of analytics and by efforts required to access and manage data.

The vast majority of retailers have spent huge sums of money implementing systems that ensure they sweep up every conceivable piece of data into a big data store. It is happening so fast that they have tons of data, little information, and even less insight. — Chain Store Age, Nov 2015

Both the volume and velocity of data overwhelm marketers. Many aren’t even sure of the data they have. They don’t believe they have the data they need; and what they have, they question the quality. Or they can’t access.

In addition, analysts aren’t trained in deep-dive analytics, or they can’t manage complex data structures. So analysts create error-filled, incomplete analytics. And in-house reporting tools fail at deep-dive analytics. As a result, marketers lose confidence in both reporting and data.

In-Database Ad Hoc Analytics — IDP

In-Database Ad Hoc AnalyticsEffective use of customer data is a competitive weapon. And reliable data is critical to accurate, marketable analytics. But we also understand that your data is challenging, and that you have limited resources.

We remove the requirement that business analysts manage large data volumes or complex data structures — bridging the gap between data management and analytics — so analysts focus, not on data, but on making recommendations from the analytics.

At IDP, we manage those large data volumes with complex structures and we integrate disparate data sources. We build rock-solid analytical data sets. And we always collaborate with marketers to generate actionable results.

When the supporting data is rock solid, In-Database Ad Hoc Analytics are much, much easier.