Data Lake vs Data Warehouse: The New “Rule of Thumb” in Insurance Claims Management

on Jun 11, 2019 11:48:19 AM | By Jon Walkenford | Data Lake Data Warehouse Modernization
Data Lake vs Data Warehouse? In our experience, people often confuse the two approaches to data management. They either conflate them or misunderstand how they are alike, yet different. Rather than deal in the abstract, we thought it would make sense to have the data lakes vs. data warehouses discussion using the example of data analytics in insurance claims management. It’s a category we know well.
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How Graph Analytics Drive Innovation in the Financial Sector

on Jun 3, 2019 11:09:31 AM | By Tripp Smith | Analytics
Graph analytics, a set of analytical techniques that look at relationships between different kinds of data, has the potential to drive innovation in the financial sector. Gartner included graph analytics in its “Top 10 Data and Analytics Technology Trends That Will Change Your Business” report. They cited its ability to enable discovery of new dimensions of the client relationship, business processes, the workforce, security and beyond.
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Understanding the NLP and Conversational Analytics Revolution

on May 31, 2019 1:53:05 PM | By Tripp Smith | Natural Language Processing
According to the recent Gartner report, “Top 10 Data and Analytics Technology Trends That Will Change Your Business,” Natural Language Processing (NLP) will have a transformative effect on data analytics. By removing the need to program queries into an analytics tool, NLP expands the potential user pool, along with use cases, for advanced analytics. For the financial field, to choose one of many potential areas of impact, NLP and conversational analytics promise to be revolutionary.
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Understanding the Potential of Augmented Data Analytics

on May 20, 2019 1:28:03 PM | By Patrick McDonald | Analytics
Gartner recently published its report, “Top 10 Data and Analytics Technology Trends That Will Change Your Business.” As the authors of the report note: “These data and analytics technology trends will have significant disruptive potential over the next three to five years.” Augmented data analytics emerges as one of the key trends highlighted in the report. This article is intended to help you gain a better understanding of this important trend in data analytics.
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5 Reasons You Need Customer Data Analytics

on May 7, 2019 8:49:19 AM | By Patrick McDonald | Analytics
Professor Leonard Schlesinger of the Harvard Business School, considered one of America’s foremost experts on customer service, had one of his greatest moments of insight while waiting in a grocery checkout line. As he waited with his full basket, he watched customers breezing through the express line. He wondered, “Why is the store punishing me, making me wait for a long time with my $300 cart, while people spending $3 get the royal treatment?” It seemed the store wasn’t analyzing customer data and didn’t know their customers. To Schlesinger, the issue had to do with a misalignment of customer service and customer prioritization. The supermarket couldn’t identify its best customers.
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Benefits of a Cloud Data Warehouse

on May 2, 2019 10:39:34 AM | By Ali Sajanlal | Cloud Data Warehouse Modernization
The data warehouse (DW) has proven to be the main ingredient for business intelligence (BI) and advanced analytics. It’s very success, though, has led to a situation where companies are constantly struggling to meet Service Level Agreements (SLA), scale and adapt to additional, large internal and external data source. Just running a DW on-premises has become a costly and requires constant maintenance and monitoring, despite the business advantages of having an integrated view of data across the enterprise. The cloud data warehouse emerges as an attractive alternative. The cloud data warehouse is easier to manage, scale and modify. It allows the organization to focus on data and business value instead of maintenance and performance. However, not all cloud data warehouses are equal.
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What Are Advanced Analytics?

on Apr 26, 2019 4:14:32 PM | By Kevin Claybon | Advanced Analytics Analytics
What type of flowers should you get for your mother on her birthday? Let’s say she’s 60 years old and comes from Maine. She might love an arrangement that featured Lupines and Yellow Violets. Those are native to Maine. In addition to pleasing your mother, you’ve also just demonstrated the principles of advanced analytics. You instantly processed numerous variables about your mother’s preferences and came up with the perfect floral choices. But, what if your job was to recommend birthday flowers for 50,000,000 American women? That’s where things get interesting, and a bit challenging.
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Recognizing Women at Clarity

on Mar 8, 2019 2:05:06 PM | By Crystal Kosebutzki | Women in Technology Leadership
Happy International Women’s Day to all our women in Tech and personal Shero’s! We want to take advantage of this opportunity to recognize all the strong women we get to work alongside everyday at Clarity, and we’re proud to toot our own horn and say that women represent 40% of our executive team, and 41% of our LDP hires are women. We value an open, supportive environment and we believe that diversity and inclusion result in better business outcomes and cultivate diversity of thought. To celebrate these ideas, we’d love to introduce Clarity:WE!
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The Data Model in The Era of Snowflake Computing’s Data Warehouse: SMP and MPP

on Mar 5, 2019 7:48:00 AM | By Don Gooldy | Data Warehouse Modernization
Three-Part Series: Article 3 In the first article of this series I questioned whether the continued comparison of Relational Models to Star Schema models is still relevant with the entrance of Snowflake Computing’s data warehouse/data lake service into the market place. And we began by exploring the origins of the relational model.
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