Database marketing gives marketers the tools to anticipate behaviors, engage customers, reward loyalty and retain loyal customers longer. In-database processing lets marketers run these analytics in seconds, not hours.
In-Database Processing — What is it?
In-database processing refers to integrating data management and data mining workloads inside a production data warehouse. The process is popular for improving analytics and is often called in-database analytics.
In-database processing has actually been around for a long time. And in-database analytics is just the tip of the in-database iceberg. Supporting the analytics are vast, largely hidden exploration processes — 75% data management and data mining, and only 25% analytics.
To solve the current challenges of Big Data, enterprises are turning to a new strategy: in-database analytics. The idea behind this approach can be summed up in one simple concept: Move the analytics, not the data. — Why Big Data is Suddenly Moving Back in With its Parents, Business Intelligence Solutions Review, April, 2016
In-Database Processing — Benefits
Speed. Incredible speed. And the ability to accurately repeat analytics anytime — in seconds.
With in-database processing, work efforts plunge from hours to seconds. Gone are data transfers across networks. Gone are complex joins and aggregations on workstations. Instead, the data warehouse handles data management. Analytical data sets are created at the source. And analytics complete in seconds, not hours. This part of in-database processing – the hidden part of the iceberg – is where business analysts gain the greatest benefits.
In-database processing empowers marketers to transform their customer data into strategic, competitive weapons. By migrating the data management and analytics inside the data warehouse, not only does a two hour process reduce to under one minute, but the analytics become instantly repeatable with absolute accuracy.
By bringing the analytics into the database, enterprises can perform highly complex analyses directly in the database environment without spreading the problem out across a team of servers. — Why Big Data is Suddenly Moving Back in With its Parents, Business Intelligence Solutions Review, April, 2016
In-Database Processing — IDP
The most critical part of analytics is accurate, reliable supporting data. But your data is challenging, and you have limited resources. So, we remove the requirement that business analysts manage large data volumes or complex data structures.
We bridge the gap between data management and analytics, so analysts focus, not on data, but on making recommendations from statistics.
At IDP, we integrate disparate data sources and manage those large data volumes with complex structures. We build rock-solid analytical data sets. And always collaborate with marketers to generate actionable, marketable, results.
Our data-driven marketing solutions are always designed to specific marketing requirements and our analytical data sets are built for 24/7 availability.
The analytics, once integrated into the data warehouse are rightly called in-database analytics. And by generating analytics in seconds, not hours, marketers can turn their focus to making strategic recommendations from the analytics.
With IDP, marketers control their data, their analytics and their marketing technology.