Technology Section: A Guide to Hadoop for Data Warehousing and Operational Analytics

Leave a comment

Hadoop has become the preferred choice for big data analytics. It can handle both structured and unstructured data at very high volumes with an unprecedented price/performance ratio. Hadoop’s ecosystem advances now also make it suitable for real-time analytics.

Read more

Trends Section: SAP Announces Marketing Gap Analysis Tool That Sets the Foundation for Customer Engagement Success

Leave a comment

Today’s customers have higher expectations for organizations than ever before. They engage with brands across multiple channels throughout their customer journey and demand personalized treatment, making marketers critically dependent on sophisticated technology as a result. Unfortunately, acquiring the best solutions for their organizational needs is not a simple task. If brands make the wrong choices and implement technology that does not meet their business needs, they miss critical opportunities to connect with target customers to drive growth and advocacy.

Read more

Data Section: Improving data quality with better CRM system design

Leave a comment

Every admin should scrutinize the CRM system to determine what can encourage better-quality data entry. This does not mean every field should be required, but make every required field matter.

Read more

Technology Section: Making the Shift from Relational to NoSQL

Leave a comment

This white paper highlights the differences between a relational database and a distributed document-oriented database, the implications for application development, and guidance that can ease the transition from relational to NoSQL database technology.

Read more

Technology Section: Why Data Management and App Dev Must Come Together

Leave a comment

At this summer’s O’Reilly Open Source Convention (OSCON), Byron Ruth, a lead analyst/programmer with the Children’s Hospital of Philadelphia (CHoP), spoke about a topic that’s near and dear to the hearts of data management (DM) practitioners everywhere: ETL.

Read more

Data/Technology Section: How the Data Explosion Changes the Way We Do Business

Leave a comment

Ten years ago we were looking at data that was explicitly captured inside an enterprise as the transactions – as payments, as inventory info, resource management information, CRM systems and sales mgt info. These were in the realm of megabytes and gigabytes, and it was mostly transactions. Then we started to track interactions between companies and customers. Not just transactional data but sales records; CRM data; every phone call started getting recorded, transcribed and processed; the clickstream that we captured from our web interactions, web servers and online sales that became a part of the single view of the customer.

Read more

Data Integration/Technology Section: Does Hadoop Mean the End of the Data Model?

Leave a comment

The development of Hadoop and the Hadoop Distributed File System has made it possible to load and process large files of data in a highly scalable, fault tolerant environment. The data loaded into the HDFS can be queried using a batch process provided by MapReduce and other cluster computing frameworks, which will parallelize jobs for developers by distributing processing to the data located on a pool of servers that can be easily scaled.

Read more

Older Entries