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How modern is your data warehouse? Take our new maturity assessment to find out

As more and more businesses turn to advanced data analytics to help them make smarter decisions, run real-time analytics, and improve business operations, an increasing number are modernizing their data warehouses to make it all possible. For many businesses, knowing how to modernize means understanding where their data warehouse sits on the spectrum between traditional and cutting edge. To help, we collaborated with TDWI to offer the data warehouse maturity assessment.

Fantasy Football

Remember that feeling right after your fantasy football draft, when you were certain that you had just drafted the championship team? Fast forward to the close of fantasy football week eleven, how is that team looking now? For me, I am battling for one of the last playoff spots in my league and I am holding my own in daily fantasy football – never quite playing the perfect combination of players.

Analytics + Automation = More bad news

We’re in the early stages of a dramatic transition for the analytics industry. More and more of the jobs that were previously done by analysts are being automated. Technology is changing the way organizations receive information. People are being alerted to both good and bad news as it happens and this has profound behavioral consequences for organizations.

Building Fast-twitch Organizations

In today’s digital world, staying ahead of the curve is a constant challenge for organizations. The pace of business is exponentially higher now than it was even a decade ago. Technology is evolving, and the ability to keep current has become a critical success factor. Organizations need to embrace constant and rapid change. They need to equip all employees with information, motivation, and support to think critically and systemically, allowing them to innovate and reduce waste.

Finding data insights faster with BigQuery and GCP Marketplace solutions

There are plenty of trends and hot topics in the enterprise technology market today. One common area we hear about from users is that there’s a lot of data to collect, manage, and analyze. And whatever industry you’re in, you probably want to do something more with your data. We built BigQuery, one of the important tools in the Google Cloud Platform (GCP) arsenal, to provide serverless cloud data warehousing and analytics with built-in machine learning to meet modern data needs.

Khan Bank: Using APIs to make banking faster and easier in Mongolia

The Soviet era left Mongolia with a legacy of manual banking processes that requires huge quantities of paperwork. This means that customers need to visit branches frequently for simple things like changing a PIN number or requesting a credit card. Since we count 2.8 million of Mongolia’s 3.3 million citizens as our customers, this could mean long lines at the bank, with an average wait time of 25 minutes for each visit. We wanted to change that.