Resources

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Use Conditional Logic in Sequel Data Access to Convert Data into Meaningful Information

Let’s face it, the amount of data that we have is only continuing to grow, which will become harder to manage and understand. Per IDC Research, 90 percent of data in the world today was created in the last two years, and in 2016, we entered the zettabyte era . A huge challenge for everyone is finding the best way to convert all their data into meaningful information. But that can be tricky. If you...
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Enhance Your Reporting with Sequel Date Functions

Sequel makes it easy to work with your date fields, from converting the numeric or character field into a true date data type field to performing date calculations. Continue reading to learn how to convert non-date data type fields.
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Anydate: Go Back to the Future

Take time into your own hands. Discover the benefits of testing future dates, rerunning past reports, and more with date simulation software.
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How-To: Analyze Year-End Data Quickly with Flexible Client Tables

Year-end reporting is coming… Are you ready? Do you know your options? Are you prepared to collect all of the data you need to see how your company fared for the year? You’re in luck, because Sequel Client Tables make year-end reporting a breeze. Drill down into the level of information you need for your reports. Compare data across multiple years to spot trends and add context. And highlight key...
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Increase Productivity with Sequel View Builder

Business success hinges on sharing relevant information with the people who need it. When members of your organization can make informed decisions, productivity increases and problems can be solved more creatively. With Sequel Data Access , more business users within your organization can see these benefits on an even greater scale. Not using Sequel yet? Learn more > Using Sequel? Keep reading to...
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How Banks Leverage Big Data for Big Value

Technology professionals in the banking industry face a wide range of concerns due to the nature of the data stored within their systems. The potential reward in stealing or compromising financial data makes these organizations a prime target for cybercrime, while stringent industry regulations require security to be extremely tight at all times. Is it possible to strike a balance between defensive, regulatory, and data access needs and still provide access to data for analytics without compromising the security of the entire system? The truth is that many organizations in the financial sector have deployed analytics technology while being able to keep their security tight, and are benefiting from it.