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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

From the excitement of goals set by CEO’s and CIO’s about what their Big Data lakes would be able to do, data scientists were starting to find it difficult to use them in real-world applications. Data lakes were designed to be agile and provide analytics data on the fly while processing incoming data at a remarkable speed.

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Selling Agile to the C-Suite to Get Buy-In

Leading Agile

What do we have to do to make Agile tangible for our executives? Are Executives Getting in the Way of Agile? One of the challenges we face is the perception that executives don’t care about Agile. There’s a belief that executives are the number one obstacle to successful Agile transformation in organizations.

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The Case for Continuous Financial Planning after Covid-19

Insight Software

It has driven the need for more frequent re-forecasting, which has shown that the old ways of doing things do not provide the agility and efficiency required. Never before have teams been asked to be this agile and flexible, pivoting and changing as underlying financial and operational drivers are turned upside down.

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The Ultimate Guide to Data Warehouse Automation and Tools

Insight Software

According to a global survey on the status of data warehouse modernization from the Business Application Research Center, the most pressing issue for 44 percent of survey participants is a lack of agility in the data warehouse development process. This is the exact problem data warehouse automation solves.

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5 Strategies to Reduce ETL Project Implementation Time for Businesses

Astera

For example, automating data extraction allows the BI team to focus on more strategic, high-value activities instead of spending hours manually extracting large volumes of data. Automation also helps avoid manual errors and saves time. Modern ETL tools come with built-in AI-powered automation features.

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Where’s the Value? Value Stream Identification vs. Value Stream Mapping vs. Value Stream Management

Cprime

Data is usually gathered manually and is based on expert opinion. Date is collected infrequently due to the significant effort required to assemble experts and obtain data. Requires tooling and normalizing tooling data Automated data collection may be difficult from document based tools like MS Excel.

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Boost Your Productivity Levels With Automated Reporting System & Tools

Data Pine

The manufacturing industry needs continuous automation throughout processes, and each part of the company needs to work flawlessly in order to avoid potential business issues and cost increment. That’s why an agile BI dashboard such as the one below can help in the process. Automation, in this case, is crucial.