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Big Data & Analytics

Paul Nelson
Quality analysis is critical in maintaining a data mining application's high performance. In this last part of our "Cruising the Data Ocean" blog series, Chief Architect, Paul Nelson, will discuss various quality analysis techniques and what you should consider when performing quality checks.
Paul Nelson
In part 5 of our "Cruising the Data Ocean" blog series, Chief Architect, Paul Nelson, provides an overview of some powerful search, analytics, and business intelligence (BI) applications you can build using the Internet data you have acquired and processed.
Paul Nelson
In part 4 of our "Cruising the Data Ocean" blog series, Chief Architect, Paul Nelson, provides a deep-dive into Natural Language Processing (NLP) tools and techniques that can be used to extract insights from unstructured or semi-structured content written in natural languages. Paul will introduce six essential steps (with specific examples) for a successful NLP project.
Paul Nelson
Data preparation is a critical step in your data mining project. In this third blog of our "Cruising the Data Ocean" series, Chief Architect, Paul Nelson, provides an overview of the data cleansing and formatting techniques you can use to get the highest-quality data for further processing and analysis.
Paul Nelson
In this second blog of our "Cruising the Data Ocean" series, Chief Architect, Paul Nelson, discusses popular techniques for acquiring Internet content to be used in data mining projects. He also provides general guidelines to help you decide whether one or a combination of techniques would be the best approach for your specific requirements.
Paul Nelson
Mining and making use of data from the Internet can bring powerful insights that help businesses achieve more success. In this "Cruising the Data Ocean" blog series, our Chief Architect, Paul Nelson, will provide a deep-dive into the various use cases as well as essential tools and techniques for extracting and processing Internet data to support business analytics.
Search Technologies
Gartner recently released its Magic Quadrant for Insight Engines, effectively replacing the Magic Quadrant for Enterprise Search. This blog provides additional insights into the emergence of natural language processing and intelligent search and analytics - a growing trend we've seen in the market and in many customers' projects.
Search Technologies
Modern big data technologies have enabled more advanced BI and analytics across multiple areas of business operations. This blog identifies the top five big data analytics use cases Search Technologies has designed and implemented for our customers, including discussions around the challenges, technology stacks, and business results.
Mai Nguyen
The 2017 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms was recently released. At Search Technologies, we've seen some recent developments in our customers’ analytics projects that also emerged in this year’s Gartner Business Intelligence and Analytics MQ. Read about the top three notable trends in this blog.
Paul Nelson
With the big data revolution, companies have been able to leverage a wide set of tools, including data processing, search, analytics, etc., to achieve more results with the data they have. Watch this video to learn about how big data analytics has revolutionized the agriculture industry, creating what we call "precision agriculture."