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The Ultimate Guide to Data Warehouse Automation and Tools

Insight Software

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

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Top 10 Reasons to Acquire a Product Information Management Solution (PIM or PXM)

Insight Software

Error-free Product Data Businesses and consumers are demanding more and more information prior to making purchase decisions. Couple this with more suppliers, more data formats, and differing supplier taxonomies and you could have millions of data points to manage, normalize, and enrich with your own brand voice.

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Putting the Business Back Into Business Innovation

Timo Elliott

The industry analysts all have a similar vision of what that agile future of business looks like. Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation.

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Embedded Analytics: The Secret to Promoting Information Democracy

Insight Software

This soon-to-be popularized term is known as “information democracy” and is defined as follows: Support all users with timely and actionable insights to inform tasks/activities. Whether a programming guru or newbie to Excel, every knowledge worker requires information at their fingertips to advance and succeed. Access Resource.

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Enterprise Tax Reporting: Digitization Is the New Standard

Insight Software

By digitizing their enterprise tax reporting, corporate tax teams can vastly simplify their processes, eliminate manual effort, increase accuracy, and deliver results faster. The world is moving toward digital tax reporting for a multitude of reasons. Trends in Enterprise Tax Reporting.

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What is a Data Pipeline?

Insight Software

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Today, the ongoing shift to enable digitization into the cloud is seen as a primary way to modernize products and service offerings. Helping retailers make smarter decisions.