The Everything Strategy: The 5 Essentials of Effective Automation

By Frank Melchiorre on Wed, Aug 01, 2018 @ 10:08 AM

Data without insight has little value. That's why we have Data Warehouse professionals to turn those zeroes and ones into actionable insight that helps organizations make better decisions, earn new customers, identify new opportunities, and turn existing customers into ambassadors for their companies’ products, services, and brands.

But there is intense pressure to innovate faster than the competition. Coupled with the difficulty of finding and retaining properly-trained IT staff, initiating digital transformation takes a secondary role to putting out the fires and surviving.

You can adapt to the changes, or risk being left behind. Automation can help; although, while most organizations have some automated processes in place, few have an automation strategy.

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Data Warehouses: Where Workload Automation Really Shines

By Katti Wolfe on Wed, Jun 13, 2018 @ 10:06 AM

Data centers are exceedingly busy places. In many centers it’s not unusual for hundreds of data warehousing processes, involving millions of rows of data, to be executed every day. Add in the difficulties presented by the shortage of qualified IT personnel—a situation caused by the rate of growth in IT computing resources, budgets not keeping pace with the rate of growth, and skilled IT resources being harder to find and retain—and you have the formula for a stressful environment.

The answer to gaining data warehouse control and visibility is automation—and here’s why. Today’s intelligent automation platforms have the power and flexibility to handle virtually any data warehouse operation, regardless of complexity. The tested logic and drag-and-drop convenience of Workload Automation solutions allow staff to design, build, implement, and monitor workflows faster, more reliably, and with less custom scripting.

Let’s look at the positive impact of Workload Automation on data warehouse operations as experienced by actual users:

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IT Automation for Data Warehousing Projects

By Kaitlin Olcott on Thu, Aug 20, 2015 @ 10:08 AM

Data Overload is a Challenge

Data moves through organizations in a constant state, going from one individual, department, or office to the next. As new and different data sources like social media and wearables become part of the data pool that businesses collect and analyze for decision-making, data warehousing processes are becoming increasingly complex.

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IT Automation: Delivering Big Data’s Benefits

By Colin Beasty on Mon, May 20, 2013 @ 07:05 AM

Attending Informatica World presents the opportunity to speak with IT professionals about one of the strongest use cases for job scheduling and workload automation: the end-to-end automation of ETL, data warehousing and business intelligence (BI) processes.

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