4 Advanced Analytics Techniques to Improve Decision-Making

How Advanced Analytics Can Fuel Data-Driven Decision-Making

In today’s data-driven business landscape, organizations are constantly pressured to make faster, more informed decisions that drive better outcomes.  According to Forbes, 53% of companies use big data analytics to take inform business decisions.  An HBR study points out that companies that use data-driven decision-making are 6% more profitable than those that don’t. However, with […]

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5 Advanced Analytics Benefits For Your Organization

Advanced Analytics Benefits For Organization

Advanced data analytics is a powerful tool for businesses that want to gain insights from their data. Advanced data analytics can provide unprecedented visibility into customer trends and preferences through sophisticated algorithms and technologies. Organizations can use these insights to identify new opportunities or better understand customer behavior. According to a McKinsey study, organizations that […]

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Harnessing the Power of Big Data and Advanced Analytics

Power of Big Data and Advanced Analytics

International Data Corporation (IDC) predicts that by 2025, the amount of data generated worldwide will reach 163 zettabytes, growing at a CAGR of 44%. Not just that, Gartner predicts that by 2025, AI-driven automation will reduce data preparation time by 95%, enabling organizations to analyze vast amounts of data in real-time. Walmart, the world’s largest […]

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Understanding the Advanced Data Analytics Lifecycle

Understanding the advanced data analytics lifecycle

Businesses around the world generate massive quantities of data daily in the form of server logs, web analytics, transactional information, and customer data. To effectively process this much information and derive actual value from it, businesses need to consider advanced analytics techniques for decision-making. We already discussed its applications across industries in our previous article. […]

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What Is Anomaly Detection? Importance, Methods, Challenges and, Use Cases

Anomaly detection header image: chess board

Anomaly detection refers to the process of analysing data sets to detect unusual patterns and outliers that do not conform to expectations.  It takes on even more importance in a world where enterprises depend heavily on an intricate web of distributed systems. With thousands of potentially important data items to monitor every second, it is […]

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The Horizontal and Long Tail Impact of Data

Scribble Data at the TLMS MLOps Summit

We recently had the good fortune of speaking at ValleyML’s AI Expo 2022 earlier this month. This is an annual event that presents a unique combination of AI Technology, researchers, industry thought leaders and prospective buyers of AI/ML technologies in a single event. The 2022 edition promised even more interesting talks and networking opportunities as it spanned four […]

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