Remove Data Management Remove Systems Remove Technology Remove White Paper
article thumbnail

Why Your Master Data Management Needs Data Governance

Precisely

With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Many businesses have multiple systems that house customer data, for example.

article thumbnail

Insurance Organizations Depend on the Quality of Their Data

Precisely

How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. The top quartile, in contrast, reported better results, which were supported by better processes and technology.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Do You Manage Your Data Debt Alongside Your Technical Debt?

The Modern Data Company

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

article thumbnail

Accelerate Digital Transformation with Hyperautomation

Precisely

Hyperautomation is the practice of automating as many processes as possible across an entire organization as quickly as possible, using a combination of tools, systems, and techniques. Automation increases the potential to create a large volume of bad data very quickly. Hyperautomation is a key enabler of that transformation.

article thumbnail

Simplifying Data Integration Through Eventual Connectivity

Data Engineering Podcast

If you are struggling to maintain a tangle of data pipelines then you might find some new ideas for reducing your workload. What is eventual connectivity and how does it address the problems with ETL in the current data landscape? How much up-front modeling is necessary to make this a viable approach to data integration?

article thumbnail

Exploring The Insights And Impact Of Dan Delorey's Distinguished Career In Data

Data Engineering Podcast

Summary Dan Delorey helped to build the core technologies of Google’s cloud data services for many years before embarking on his latest adventure as the VP of Data at SoFi. Can you start by sharing what your current relationship to the data ecosystem is and the cliffs-notes version of how you ended up there?

article thumbnail

Setting The Stage For The Next Chapter Of The Cassandra Database

Data Engineering Podcast

Summary The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. Cassandra is primarily used as a system of record. How did you get involved in the Cassandra project and how would you characterize your role?

Database 100