Flawed Integration Can Destroy Data Quality and Reliability

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7
Next Next

Transferring

Until recently, there have been very few challengers to relational databases like SQL Server, which have reigned supreme for nearly 50 years. Now, traditional relational databases find themselves being replaced by newcomers like MongoDB, Cassandra and Hadoop along with non-relational, NoSQL, NewSQL and Big Data options. These new technologies have a lot to offer but don’t always play nice with existing systems and applications that were built with relational models in mind.

Firms that are starting to migrate to new technology need to future-proof their environments by finding a 'connector-tolerant' application to ensure seamless connectivity with a multitude of sources such as MongoDB, SparkSQL, Hadoop, etc. The faster organizations can move data for analysis, the faster they can free up the storage required to house the information at the collection points, cutting down on storage costs and management.

Analyzing large amounts of data across a multitude of business systems enables companies to optimize the performance of the sales team, identify patterns in the industry, or determine the efficacy of marketing. A variety of tools enable organizations to prepare the data, but if the quality is insufficient, it will provide unreliable insights.

Data connectivity and integration can be affected by a variety of factors including how it is entered, stored and managed. Maintaining high-quality data is reliant on regular updating, standardization and de-duplication. However, if these processes are flawed, the data can negatively sway organizational spend and productivity. When evaluating the quality of your organization’s data, a variety of characteristics need to be assessed.

In this slideshow, Paul Nashawaty, director of product marketing and strategy at Progress, looks at key factors organizations must consider to ensure their data remains of high quality.

 

Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

 
More Slideshows

email12-190x128 Why Email Is a Business’ Greatest Untapped Resource

Five ways enterprises can use email analytics augmented by machine learning to surface insights that can help them ward off risk and meet or exceed goals across their organizations. ...  More >>

PorembaDigitalDisruption0x 9 Successful Digital Disruption Examples

Digital disruption isn't so much an IT project as the future of business, and this requires widespread collaboration across all units. ...  More >>

Media1-190x128.jpg 5 Ways to Boost Productivity with Content Automation

An effective content automation solution can ease the transition to a digital-first distribution strategy, helping companies preview and approve content across all platforms and media types. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.