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The evolving role of CFO is driven by data

CIO Business Intelligence

But what CFOs really need if they are to perform their modern role well is not just data, but to be able to connect the dots and gain an holistic view. They need integrated financial insights on accounting and finances data, better traceability and operational reporting on things such as customer segmentation, products and revenue assurance.

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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

Azure Data Lakes are highly complex and designed with a different fundamental purpose in mind than financial and operational reporting. For more on Azure Data Lakes, download this guide: “ Diving into Data Lakes: Is Microsoft’s Modern Data Warehouse Architecture Right for Your Business? ”.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

If ADLS is to serve merely as a data repository for finance and business reporting, then it’s overkill and adds expense and complexity (not to mention risk) to your implementation. In the near term, address your immediate reporting needs with a tool like Jet Analytics.

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A Look at Data Entities and BYOD for Accountants

Jet Global

Reporting: A Few Technical Basics. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.” That stands for “structured query language.” What are unstructured data? It’s probably easiest to answer that by giving a few examples.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

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Migrate data from Google Cloud Storage to Amazon S3 using AWS Glue

AWS Big Data

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

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Migrate data from Azure Blob Storage to Amazon S3 using AWS Glue

AWS Big Data

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3.