Research reveals that the global natural language processing (NLP) market size is projected to grow by $33 billion within the next five years, an annual growth rate of 25%. The use of natural language processing for search capability is ubiquitous – from the Google-type “ask a question and get an answer” environment consumers love to the augmented […]
How Descriptive Analytics Leverages Data for Better Decisions
Organizations are recognizing that data can be a powerful business asset, and are investing in data analytics to provide this valuable tool. According to research, more than 95% of all organizations today incorporate data initiatives into their business strategies. However, most businesses falter when it comes to effective and efficient uses of data. Descriptive analytics, the most […]
Why Embedded BI Is the Best Option for Analytics
When a business considers the implementation of an analytics solution, it may be focused on choosing the easiest, most flexible solution to encourage its users to make analytics part of the process and to incorporate it into everyday tasks to achieve better results. When a business offers embedded BI tools with integration APIs, it provides the […]
Companies Must Develop New Data Muscles to Pivot to Profitable Growth
As the economic environment becomes more somber, companies are focusing on achieving profitable growth and not just growth. Data-driven decisions can accelerate this goal, but organizations must develop new data muscles to get them there. The last few months have been a whirlwind for the business world: slowing growth, bleaker capital markets, layoffs, the possibility […]
The Semantic Lakehouse Explained
Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack. In this article, […]
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 […]
Building a Data Analytics Strategy to Understand Your Supply Chain
We’ve all heard and seen the realities of the increase in shipping rates. In 2021, the domestic shipping rates for moving goods by road and rail in the U.S. was up 23% from 2020. The real problem, though, is that even if you can afford that increase, the product and capacity might not be available. […]
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 […]
Data Science Trends in 2023
Data and analytics are helping change the business world and as we head into 2023, this is the right time to predict how to work with data, by getting ready with the new year’s top data and analytics trends. Some of the top data-related trends driving the market today include advances in Data Science, data […]
Augmented Analytics Tools Can Enable Data Democratization
What is business intelligence democratization? Put simply, BI democratization is the open access to business intelligence and augmented analytics tools to enable analysis and understanding of the data within the enterprise systems. The “democratization” component relates to the “who.” Who gets access to the data? The simple answer is: everyone. In an environment where intelligence and […]