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APISCRAPY is an AI-driven web scraping and automation platform that converts any web data into ready-to-use data API. The platform is capable to extract data from websites, process data, automate workflows, classify data, and integrate ready to consume da...Read more about APISCRAPY
Alteryx Designer is a desktop-based self-service data profiling, preparation, blending, and analytics product used to create visual workflows or analytic processes through an intuitive drag-and-drop interface. In addition to dramatically reducing the time ...Read more about Alteryx Designer
Google Cloud is a suite of cloud computing services that allows businesses to build, deploy, and scale applications. The platform caters to a wide range of industries, such as retail, financial services, healthcare, media, telecommunications, gaming, manuf...Read more about Google Cloud
Neural Designer is a user-friendly app for data science and machine learning. It allows you to build AI-powered applications without coding or building block diagrams. Its graphical interface eliminates the need for coding and complex algorithms, allowing...Read more about Neural Designer
Centralpoint, by Oxcyon is featured in Gartner’s Magic Quadrant for Digital Experience Platforms is a Microsoft based technology which be installed either on-premise or in the cloud. It is an N-Tiered, highly scalable, roles based Knowledge Management solu...Read more about Centralpoint
Altair Monarch is a self-service, web-based data preparation solution that helps businesses extract data from reports such as HTML, PDF and XPS. The platform can access data from customer lists, sales reports, logs, inventories, invoices, and more. Monarch...Read more about Altair Monarch
Wolfram Mathematica is a technical computing solution that provides businesses of all sizes with tools for image processing, data visualization and theoretic experiments. The notebook interface enables users to organize documents including texts, runnable ...Read more about Wolfram Mathematica
Lucidworks Fusion is a cloud-based solution designed to help IT teams manage data discovery through natural language processing (NLP), query intent classification, information clustering and ranking algorithms. Key features include contextual search, visua...Read more about Lucidworks Fusion
JMP is an on-premise data analytics solution that helps scientists, engineers and data explorers understand complex data relationships and visualize them via interactive dashboards. The data acquisition and cleanup functionalities allow users to import dat...Read more about JMP
IntelliFront BI by ChistianStevens Software allows businesses to view multiple data sets in one place. The system offers real-time dashboards with on-demand reporting. Users have access to business process automation, report scheduling, and data-driven sub...Read more about IntelliFront BI
Statgraphics is a business intelligence (BI) solution that helps enterprises utilize collected information to facilitate data visualization, modeling and predictive analysis. It provides professionals with interfaces for text mining, classification and reg...Read more about Statgraphics Centurion
RapidMiner is a cloud-based and on-premise data science solution, which helps small to large organizations access, load and analyze structured and unstructured data. Key features include process automation, model validation, data connection, and blending. ...Read more about Altair AI Studio
IBM SPSS Statistics is a cloud-based data analysis engine that helps individuals and enterprises by providing statistical foresight to improve efficiency across the business. Designed for businesses of all sizes, it offers solutions including fraud mitigat...Read more about IBM SPSS Statistics
Sisense goes beyond traditional business intelligence by providing organizations with the ability to infuse analytics everywhere, embedded in both customer and employee applications and workflows. Sisense customers are breaking through the barriers of anal...Read more about Sisense
Import.io enables businesses from SMB to enterprise to automate website data extraction from any web page. The solution provides teams like IT, market research, data scientists, marketing, and business intelligence/competitive intelligence with timely, hig...Read more about import.io
Hypersense AI Studio is a no-code AI platform that can build and deploy machine learning models in minutes. HyperSense helps businesses thrive in a hyper-connected world by using data and analytics to sense change and respond effectively. HyperSense is a...Read more about HyperSense AI
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IOTICS IS SOFTWARE FOR DATA INTERACTIONS. WE ARE CHANGING HOW THE WORLD USES AND SHARES DATA. In IOTICSpace digital twins virtualize data sources and consumers. In a decentralised data mesh digital twins use semantic web technologies to interact across bo...Read more about IOTICSpace
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𝗚𝗿𝗲𝗽𝘀𝗿 𝗲𝗺𝗽𝗼𝘄𝗲𝗿𝘀 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲, 𝗮𝗻𝗱 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝘄𝗲𝗯 𝗱𝗮𝘁𝗮. First, we'll discuss the specifics of your data needs and the KPIs you would like to have in order to ensure succe...Read more about Grepsr
Octoparse is a leading web scraping tool that empowers users to easily extract data from any website without coding. 🌱Key Features: 💛Built-in Free Templates💛 - Utilize our pre-built templates for popular websites to quickly start extracting data witho...Read more about Octoparse
WebAutomation takes the time, cost and effort out of gathering data from the web. Our marketplace is home to hundreds of extractors that convert websites into spreadsheets or APIs in minutes with just a few clicks. What’s more, we maintain these extractors...Read more about WebAutomation
Understanding the market: where is the money, who buys & sells, what, when, where, how, needs, future opportunities and renewals, competition, adversities, partnership affinities & appetite. Big data analytics are already used heavily in the retail and co...Read more about Hermix
Bright Data Platform is a cloud-based data collection platform that enables businesses and researchers to collect and analyze structured and unstructured data from millions of websites. The Bright Data platform gives businesses unprecedented access to data...Read more about Bright Data
XLSTAT provides a multitude of functionality to help companies generate analysis from data according to needs. It works through an integration with Microsoft Excel and is accessible in the form of a drop-down menu. Businesses can get results within an Exce...Read more about XLSTAT
Hexomatic is a no-code, work automation platform that enables businesses to harness the internet as their own data source and leverage ready-made automations to scale time-consuming tasks. This platform allows users to scrape the web, find new leads and pe...Read more about Hexomatic
Dataiku is an all-in-one data science and machine learning solution designed for business analysts, data scientists, and software engineers. Users can create, deploy and reuse custom applications that utilize integrated data and machine learning to streaml...Read more about Dataiku
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Buyers Guide
This detailed guide will help you find and buy the right data mining tools software for you and your business.
Last Updated on January 27, 2025A major challenge for businesses is how to turn large, convoluted data sets into information that users can leverage to improve operations. Meanwhile, as companies struggle to find the best approach, their data sets continue growing larger and more convoluted, while some of their competitors turn their own analyses into actionable insight and competitive advantage.
Data mining software addresses this exact problem. It’s a core application in most business intelligence initiatives and it’s often the only tool able to extract insight from mountains of data. And as computing and application costs continue to become more affordable, data mining is no longer an exclusively enterprise-class endeavor. Now, even companies in the SMB space are rolling out data mining initiatives and reaping their rewards.
In this buyer’s guide, we address the following points and answer the following questions:
Common Features of Data Mining Software
Key Considerations for Selecting Data Mining Software
What Is Data Mining Software?
Data mining software allows users to apply semi-automated and predictive analyses to parse raw data and find new ways to look at information. It’s typically applied to very large data sets, those with many variables or related functions, or any data set too large or complex for human analysis.
Some examples of how data mining is used in different industries include:
Ecommerce companies use data mining to analyze visitor demographics and discover how to deliver a better customer experience. They might, for example, find that some products sell better during certain times of the day. Using this insight they could increase sales by reconfiguring which products are displayed based on time of day.
Insurance companies use data mining to find patterns in populations that can inform the processes of underwriting and policy management. Armed with these insights, they can offer more attractive policies tailored to specific customer segments.
Service providers use data mining to better cater to their clients’ needs and make suggestions for the most effective upsell opportunities. Cable and internet service providers regularly mine customer data to improve their service offerings.
Governmental agencies use data mining to better understand many large-scale social, political and economic changes. A local government might, for example, discover better ways to develop its road and traffic infrastructure by mining the data created from the monitoring of traffic patterns throughout the week.
It’s also important to note what data mining software does not do. Namely, it doesn’t collect the data in the first place. Most data mining solutions are designed to work with pre-existing data sets. Buyers are advised to pay close attention to the language and descriptions used in vendor marketing materials to ensure the tool they buy is the actual solution they need.
Common Features of Data Mining Software
Data mining platforms often include a variety of tools, sometimes borrowing from other, related fields such as machine learning, artificial intelligence and statistical modeling. The offerings do vary from vendor to vendor, but there are some features common across the board. These can include:
Data pre-processing | Help convert existing data-sets into the proper formats necessary in order to begin the mining process. |
Cluster analysis | These tools can categorize (or cluster) groups of entries based on predetermined variables, or can suggest variables which will yield the most distinct clustering. |
Anomaly detection | A common data mining tool that finds outliers and anomalous entries in vast, complex and/or interrelated data-sets. |
Process automation | Data mining, by definition, requires automation. But different data mining platforms require different degrees of human input and oversight. |
Benefits of Data Mining
Data mining applications help users discover correlations and connections within large data sets. These often include numerous entries with multiple variables and can even contain mixed structured and unstructured data. Because of the size and complexity of these data sets, any valuable correlations within them would have gone unnoticed if not for the tireless algorithmic analysis performed with data mining software.
While specific goals vary from company to company, we can say that companies generally implement data mining systems to:
Accelerate discovery with semi-automated analyses
Segment customers into groups based on homogeneous activities and demographics
Generate models to predict future trends
A classic example of how these systems can be used is with customer purchasing patterns at grocery stores. If shoppers tend to buy items such as toilet paper, diapers and alcohol before the weekend, retailers can place these items closer together to maximize revenue. Store owners can further capitalize on this opportunity by running specials on these items to encourage additional purchases.
Key Considerations for Selecting Data Mining Software
When evaluating data mining software, you should consider the following:
Best-of-breed or integrated suite? Buyers should consider whether they want a stand-alone, best-of-breed data mining application or would prefer to go with the data mining module from their existing Enterprise Resource Planning (ERP) provider. If buyers choose to evaluate stand-alone systems, they should discuss integration capabilities with these pure-play vendors.
Do you need to invest in hardware? Businesses without IT resources (or a budget to invest in new, faster servers) may choose to instead host their data in the cloud. However, in-memory processing advances have improved the speed and capability of these applications, lessening the IT investment previously necessary to effectively utilize data mining applications.
Do you have the talent to utilize these applications? Like with any software application, data mining solutions require the right questions to discover useful answers within data. For example, if you are evaluating data mining tools from enterprise vendor SAS, do you have analysts versed in the sample, explore, modify, model, assess (SEMMA) framework used in SAS data mining applications? Businesses must have sophisticated users to make the most out of their investment in these systems.