Remove Data Warehouse Remove Digital Transformation Remove Measurement Remove Metrics
article thumbnail

Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

article thumbnail

The change management Informatica needed to overhaul its business model

CIO Business Intelligence

In addition to ensuring people recommit to the transformation goals, what advice would you offer CIOs driving major business model transformation? Look at changing metrics and KPIs as a gift. The metrics you use to measure a cloud company are different than those you use to measure an enterprise license and maintenance company.

Modeling 105
Insiders

Sign Up for our Newsletter

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

article thumbnail

Using DataOps to Drive Agility and Business Value

DataKitchen

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”.

ROI 211
article thumbnail

How Data-Driven Decisions Boost the Future of Industrial Manufacturing

Jet Global

Today, manufacturers depend on data for analysis to improve productivity, drive supply chain efficiencies, increase customer engagement, and help increase greater levels of automation. . Source: “ Manufacturing’s Digital Transformation: Is Your Company Leading the Way or Falling Behind?” . Mind the Gap.

article thumbnail

Deriving Value from Data Lakes with AI

Sisense

However, half-measures just won’t cut it when it comes to handling huge datasets. Data is growing at a phenomenal rate and that’s not going to stop anytime soon. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. It’s the future.

article thumbnail

Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55
article thumbnail

5 Data Governance Mistakes to Avoid

Alation

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Overlooking day-to-day details While the aspirations of your data governance plan should be big, the daily actions of putting them into place may often seem small.