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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. You can run a direct query from QuickSight for BI reporting and dashboards.

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BWH Hotels scales enterprise business intelligence adoption while reducing costs with Amazon QuickSight

AWS Big Data

Having used Cognos since 2008, this was not just a lift-and-shift migration. We determined what dashboards and data we needed to migrate from our previous solution to QuickSight. With AWS Database Migration Service (AWS DMS), we were able to put our data into Amazon Redshift and then build dashboards with QuickSight.

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insightsoftware Acquires Event 1 Software

Jet Global

Deal furthers mission to deliver powerful portfolio of enterprise software solutions for Office of the CFO; expands real-time financial reporting capabilities for top ERPs Sage and Viewpoint. Emphasis on accurate financial and operational reporting in order to maintain cash flow is more important than ever. RALEIGH, N.C.

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How to Increase Financial Visibility When Business is Invisible

Jet Global

Based on 20 years of research findings and heavily informed by insights gleaned from the 2008 financial downturn, the list deserves review: Taking Bigger Bets. As CFOs work to manage cash flow, perfect accounts receivable, or secure loans and stimulus funding, they need access to reports and metrics that reflect the latest data available.

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AI vs. BI for Business, What Do You Need?

Jet Global

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

In the following sample code, we generate a report showing the quarterly sales for the year 2008. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select( We can also see the temporary data stored on Amazon S3 in the optimized Parquet format. options(**redshiftOptions).option("dbtable", groupBy("qtr").sum("qtysold").select(

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. This is similar to recommendations made in a recent report released by The Future of Privacy Forum and Immuta (their report is specifically focused on ML). Image by Ben Lorica.