Remove Data Warehouse Remove Events Remove OLAP Remove Risk
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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). What Is Financial Intelligence? Today’s technology takes this evolution a step further.

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Closing the breach window, from data to action

IBM Big Data Hub

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

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Data Model Development Using Jinja

Sisense

Data warehouses have become intensely important in the modern business world. For many organizations, it’s not uncommon for all their data to be extracted, loaded unchanged into data warehouses, and then transformed via cleaning, merging, aggregation, etc. OLTP does not hold historical data, only current data.

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Goodbye Oracle Discoverer, Hello Next-Generation Reporting

Jet Global

There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. Exception reporting – Detection and alerts that trigger workflows based on business events. View Solutions Now.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” Workflows are evolving to capture metadata about datasets over a longer lifecycle so that data science workflows themselves can become more model-driven. Upcoming events.

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Database vs. Data Warehouse: What’s the Difference?

Jet Global

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

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Bridge the Gap Between Reporting and Data Visualization in Power BI

Jet Global

However, the complexity of Microsoft Dynamics data structures serves as a roadblock, making it difficult to use Power BI without a proper connection to your data. Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI.