7 steps to elevate your BI reporting infrastructure to the next level
- This improved decision making ideology is based on facilitating data to track well-defined KPIs to measure success and performance on an organisational, business unit and even individual level.
- In order to provide this crucial data driven decision making system to the organization, a well designed BI reporting infrastructure needs to be implemented.
- Having a mutual understanding of the actual meaning of MAUs (or any other KPI) is crucial for consistent reporting in an organization and to be able to measure how effective a company is in achieving their business objectives.
- The temporary schema created for the run will remain in your warehouse until the PR is closed, allowing you to inspect the relations built by dbt Cloud.
- This will lead to an increased delivery speed, adaptability to changes and a more accurate reporting, which in the end will support your organization in facilitating data-driven decision making.
Artist releases album called “Ok Google Play Music” on Spotify
- This browser doesn't support Spotify Web Player.
- Switch browsers or download Spotify for your desktop.
- Listen to all your favourite artists on any device for free or try the Premium trial.
Amazon S3 | Strong Consistency | Amazon Web Services
- Amazon S3 delivers strong read-after-write consistency automatically for all applications, without changes to performance or availability, without sacrificing regional isolation for applications, and at no additional cost.
- Strong read-after-write consistency and strong consistency for list operations is automatic, and you no longer need to use workarounds, or make changes to your applications.
- S3 also provides strong consistency for list operations, so after a write, you can immediately perform a listing of the objects in a bucket with any changes reflected.
- Amazon S3 supports parallel requests, which means you can scale your S3 performance by the factor of your compute cluster, without making any customizations to your application.
Microsoft will modify its Productivity Score tool after snooping criticism
- Microsoft will modify the Productivity Score function of Microsoft 365 following privacy concerns.
- The company rolled out the tool in October to help companies understand how workers adopt and use technology.
- It provides scores out of 100 on several factors, including communications and teamwork.
- Critics claimed the tool would allow organizations to snoop on employees, because some functions were linked to usernames.
- According to a demo video, the tool could show how many days within a 28-day period that workers (who were identified by name) sent email, used chat, posted in Yammer or included @mentions in emails.
- Three of the other factors the Productivity Score monitors — Microsoft 365 App health, network connectivity, and endpoint analytics — weren't linked to usernames in any case.
- Instead, according to Spataro, those scores used "device-level identifiers" to help IT departments identify and address various issues with proactive tech support.