Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution

There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas.

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Reaping the Benefits of Next-generation Dashboards

The old approaches for collecting, assimilating, and delivering business intelligence (BI) data have not kept pace with today’s increasing demand for rapid decision making. Many companies use static reports and ad hoc queries, but fewer companies use dashboards and portals—which often lack the interactivity required for navigation and visualization of business data. Learn how a next-generation dashboard solution can help. Read More

The Operational Data Lake: Your On Ramp to Big Data

Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus,... Read More

Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction

Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes. Read More

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Best Practices for a Data Warehouse on Oracle Database 11g

Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system. Read More

Business Intelligence: A Guide for Midsize Companies

  • Source: SAP
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Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI. Read More

Four Critical Success Factors to Cleansing Data

Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology. Read More
 
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