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Machine Learning vs. Predictive Analytics

Predictive analytics and machine learning are extremely powerful tools used to predict future outcomes from large amounts of data. They help businesses gain insights, improve efficiency, and make informed decisions. With the big data space estimated to reach a value of $105 billion by 2027 (up from $37 billion in 2018), and 97% of organizations investing in big […]

Real-Time Analytics: Examples and Benefits

Technology behemoths like Netflix, Uber, and Meta set the standard for how application users experience data. Users expect data to be integrated into the application, making it easier to find relevant content, track deliveries, provide a spam-free internet experience, and make quick, informed operational decisions. Up until this point, the speed and scale of real-time analytics […]

Database Management Best Practices

Database management best practices promote the efficient use of data throughout the organization. These practices support the collection and storage of quality data, as well as provide easy access to the data by the appropriate people. With today’s data growing in volume and becoming increasingly complex, the intelligent management of data has become a necessity.  […]

Delay Is Deadly: Achieving Real-Time Analytics in the Age of Hyper-Competition

Today’s business landscape is more unpredictable than ever for IT leadership. Between the adoption of more sophisticated technologies and an ever-growing list of digital transformation initiatives, IT operations have become frustratingly complex. This is especially true when it comes to managing data flows and ensuring the precision of analytics insights. At a time when analytics […]

What to Look for When Hiring a Data Analyst

Data analysts are specialists in statistics, mathematics, and computer science, enabling them to serve in a variety of departments, including operations analysis, financial analysis, and marketing analysis. A data analyst interprets data to influence business strategy, permitting firms to make data-driven pricing, scheduling, and other operational choices. Why Hire a Data Analyst? As declining margins, increased commoditization, […]