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Top 3 Data and Analytics Trends to Prepare for in 2022

The past two years have seen significant disruption across sectors, markets and technology dynamics, forever changing the way businesses, workers, and customers use data. But while global conditions have created uncertainty, it’s also driven more opportunities for organizations to optimize processes to respond faster to evolving customer demands, competitor shifts, and new risks - leveraging new, innovative data solutions.

An Insight into Oracle Fusion Patching and Testing Readiness

Traditionally in the Software Development Life Cycle (SDLC), a patch is a fix, a quick repair job, or a piece of programming designed to resolve functionality issues, improve security, and add new features. Throughout its lifetime, the software gets frequent errors called bugs which produce unexpected results, and a patch is an immediate fix to those problems. Applying modifications to the Oracle Fusion Applications environment is called Oracle Patching.

New Snowflake Features Released in March 2022

In March, Snowflake continued to enhance its capabilities around data programmability and data pipeline development, with the Snowpark API and stored procedures for Java now in public preview, schema detection now generally available, and the Snowflake SQL API generally available. In addition, Snowflake’s user interface, Snowsight, is generally available. Not to mention an expanded selection of new partners to choose from in Snowflake Data Marketplace.

Get Your Retail Plan in Shape: A 7-Step Regimen for Year-Round Selling

Once upon a time, the retail calendar centered itself on the Christmas season. Now, the retail surge is year-round. Not just the wave of traditional seasonal holidays from Valentine’s Day to the 4th of July, but also newer sales holidays, such as Cyber Monday, or even holidays created by some gigantic companies themselves, like Amazon’s Prime Day. Now, instead of a steady pace leading up to a frenzied December, retailers are in sprint mode all the time.

Automate your Reports on Google Sheets with Hevo Activate

Usually, your business users request you share the business reports in Spreadsheets. They are highly familiar with Sheets and prefer their reports on Sheets only. They assume delivering reports in XLS format is easy and quick. But, we understand the efforts and time required to export reports to Spreadsheets. Every time, you will have to run queries on your centralized data at the warehouse and then export results in XLS format. You may need to edit and update the Sheet regularly.

Technology and The Essential Elements of Business Transformation

Business transformation is about fundamentally changing how a business operates to keep pace and remain competitive in the new digital-first environment. The goal is to adopt modern technology to improve the customer experience and corporate culture through improved operating models and technology. Read more about the elements of business transformation, why it matters, and how companies like Netflix have huge business transformation success.

5 Secrets to Understanding Value Shoppers

Our five key points: Value shoppers are the savvy buyers, the ones always on the lookout for the best deals and who knows where to find every discount and coupon. If you're an e-commerce retailer, the importance of understanding your value shoppers can’t be overstated. Consumers searching for a great deal will absolutely look elsewhere if they’re not impressed by your online offerings.

Data In Motion: NASA and Aurica

Some 300 million years ago, Earth had one continent called Pangea. Over millions of years, that vast single land mass broke up and drifted in different directions, creating the seven continents that exist today. Since the planet changed so dramatically over millennia, it raises an obvious question: How will it change in the future? The same forces, plate tectonics and continental drift, that broke up Pangea hundreds of millions of years ago still exert themselves.

AI Winter is coming. Get ready with Data Observability.

“Without clean data, or clean enough data, your data science is worthless.” Michael Stonebraker, adjunct professor, MIT AI is one of the fastest-growing and most popular data-driven technologies in use. Nine in ten of Fortune 1000 companies currently have ongoing investments in AI. So you may be wondering: how could there possibly be another AI winter?