Real-time analytics—that is, using mathematics and logic to gain insights from data as it is collected—is a key component of a sound and smart decision-making process. This capability can be utilized to track the effectiveness of marketing campaigns and see how these efforts are translated to sales, to ensure that the bank can enhance its balance sheet management efforts, boost workflow efficiency, and improve the bank’s understanding of customer behaviors. Real-time analytics is one of the crucial features that forward-looking banks should look for when shopping for solutions and products that will bring the digital revolution to their respective organizations.

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If you thought technology was only driving the healthcare industry towards better health outcomes, you are only half right. There is no doubt that technology is shaping the health industry in many ways, such as electronic health records, telemedicine, remote monitoring tools, and many more.

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Data, as we know it, is expanding tremendously with every second. Managing and organizing the data is now more critical than ever. Unfortunately, DBAs, developers, and data analysts are still struggling to optimize the performance of their databases with practical solutions.

There are numerous reasons why databases don’t work well. However, database pros tend to agree that SQL performance malfunctions are always the cause of ineffective indexing and poorly written queries. Hence, the need for optimization.

Optimizing your data isn’t a meek process, but it is vital for maintaining quick service delivery and application performance. Luckily, you can take several steps to improve database performance. The following tips can help you rectify or prevent possible bottlenecks in your database. In many cases, you will need to use one too many of these paths to eradicating database performance issues.

So without further ado, here’s the scoop on how you can optimize your database’s performance.

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