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Analytics

What is data quality, why does it matter, and how can you improve it?

We’ve all heard the war stories born out of wrong data: These stories don’t just make you and your company look like fools, they also cause great economic damages. And the more your enterprise relies on data, the greater the potential for harm. Here, we take a look at what data quality is and how the entire data quality management process can be improved.

Data Lakes vs. Data Warehouses vs. Data Marts

Let’s precisely define the different kinds of data repositories to understand which ones meet your business needs. October 29, 2020 A data repository serves as a centralized location to combine data from a variety of sources and provides users with a platform to perform analytical tasks. There are several kinds of data repositories, each with distinct characteristics and intended use cases. Let’s discuss the peculiarities and uses of data warehouses, data marts and data lakes.

CDP Data Visualization: Self-Service Data Visualization For The Full Data Lifecycle

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

The New Face of Secure Data Collaboration: Transforming Government with the Data Cloud

The push to embrace cloud-based technologies has undoubtedly transformed IT infrastructures at every level of government. Federal, state, and local agencies have made significant strides in modernizing how data is collected, stored, and analyzed, all in service of their mission and in fulfillment of strategic IT mandates.

Taylor Brown and George Fraser, Co-Founders of Fivetran, keynote the Modern Data Stack Conference

Throughout time data has improved the way we approach problems, find new discoveries, and make decisions. The technology that powers the creation and analysis of data hasn't always been reliable or simple to use, leaving some organizations ahead of others. This is disparity between the haves and have nots of data is changing due to the modern data stack. In this session, Taylor will give us a warm welcome and George will explain the impact of the modern data stack for analytic teams and how it is becoming as simple and reliable as electricity.

Listening to the Customer in the 21st Century: It's All About Data

The customer has never been more right. Across industries, customers have become conditioned to demand not only near-instant responses to their needs but that their needs be anticipated in advance. Financial institutions are not given a pass, despite a competitive landscape flooded with regulation and privacy considerations. The customer still has expectations for a personalized, timely, and relevant experience.

Yellowfin 9.3 Release Highlights

Broadcasting is now available in this release for both dashboards and presentations. Just like reports, you can now enable scheduled delivery of these analytic content to different audiences. We have also included additional options for schedules — making it more granular for specific frequencies. For example, for fortnightly broadcasts I can now set the delivery to be on the second Monday. Or for monthly broadcasts, to have deliveries happen on the fifth day every month.