19 Leading Data Mining Companies Transforming Business Insights

Introduction

The landscape of data mining is rapidly evolving. Companies are increasingly harnessing advanced technologies to transform raw data into actionable insights. As organisations strive to remain competitive, understanding which data mining firms lead in innovation and efficiency becomes crucial. This article explores 19 leading data mining companies that are redefining business intelligence and analytics. It sheds light on how their unique solutions are shaping the future of decision-making.

How can these companies assist enterprises in navigating the complexities of data management and leveraging insights for strategic advantage in an ever-changing market?

Appstractor: Advanced Data Mining and Cloud Management Solutions

Appstractor is a leading technology firm specialising in advanced digital tools designed to enhance operational processes. With over a decade of experience, the company offers robust software platforms that empower organisations to leverage cloud computing and work effectively with data mining companies. In 2026, the latest advancements in data mining companies' technologies focus on improving data extraction processes, enabling organisations to gain actionable insights more efficiently.

A key offering of Appstractor is its AWS Cloud Management service, which includes essential features such as auto-scaling, resource optimization, and a centralised management dashboard. These capabilities allow organisations to monitor their infrastructure effectively, automate DevOps processes, and ensure compliance with security standards. Successful implementations of these services have led to significant improvements in operational efficiency, with companies reporting increased agility and reduced costs.

The influence of cloud management services on business efficiency is substantial, as organisations increasingly adopt multicloud strategies to optimise their resources. As Scott McNealy observed, we are entering a participation age where active engagement with technology is crucial. This transition underscores the importance of robust cloud solutions that facilitate seamless information management and operational excellence.

Additionally, Appstractor's services, as one of the leading data mining companies, are tailored to extract valuable insights from raw data quickly and reliably, ensuring clients receive clean web content that supports informed decision-making. In an environment where information is likened to oil, the ability to extract and analyse this resource efficiently is essential for companies aiming to thrive in a competitive landscape.

Domo: Business Intelligence and Data Visualization Tools

Domo is a cloud-based analytics platform that integrates information from diverse sources, enabling organisations to visualise and analyse their data effectively. Its user-friendly interface promotes real-time collaboration and information sharing, simplifying the process for teams to extract insights and make informed decisions. Key features of Domo include:

1. Customizable dashboards
2. Automated reporting
3. Advanced analytics

These features empower organisations to monitor performance metrics and enhance operational efficiency.

User interaction with visualisation tools is set to reach new heights in 2026, with studies indicating that organisations employing such tools experience a 30% increase in decision-making speed. The Business Intelligence (BI) market is projected to expand from $38.62 billion in 2025 to $116.25 billion by 2033, highlighting the growing significance of these tools in the industry. Domo's features are particularly beneficial, allowing users to create tailored visualisations that meet their specific organisational requirements. Successful implementations of Domo have led to notable improvements in operational efficiency, with companies reporting up to a 25% reduction in reporting time.

Current expert opinions underscore the importance of intuitive information visualisation tools in driving business success. Analysts note that data mining companies, like Domo, are essential for companies aiming to harness the potential of data in an increasingly competitive landscape. The upcoming Domopalooza 2026 event will showcase how organisations are transforming data into measurable outcomes through AI-driven information products and smart automation. The latest functionalities introduced in 2026, including enhanced natural language processing capabilities and AI-driven insights, further solidify Domo's position as a leader in the visualisation sector, making it an invaluable resource for enterprises seeking to convert their data into strategic advantages.

Splunk: Operational Intelligence and Data Analytics Platform

Splunk stands out as a leader in operational intelligence, enabling organisations to collect, analyse, and visualise machine-generated information in real-time. Its adaptable platform caters to various applications, including IT operations, security monitoring, and commercial insights. By leveraging advanced analysis and machine learning - featuring tools like the AI Assistant in Security and the Configuration Assistant for IT Service Intelligence (ITSI) - Splunk empowers businesses to identify patterns and anomalies within their data, fostering proactive decision-making and enhancing operational efficiency.

As organisations increasingly rely on data-driven insights, the significance of data mining companies that analyse machine-generated information is projected to grow in 2026. Industry experts emphasise that data mining companies are crucial for effective information management and analysis, which in turn optimises performance and ensures service reliability. For example, Splunk's innovative tools have played a vital role in improving IT operations by streamlining incident response and bolstering security measures.

Real-world applications of Splunk demonstrate its transformative impact: companies utilising its platform have reported notable enhancements in operational stability and threat detection capabilities. As Owais Akbani, a data consultant, notes, "the information analysis market signifies one of the rapidly expanding technology sectors worldwide," underscoring the essential role of platforms like Splunk in navigating the complexities of modern environments.

In summary, Splunk's operational intelligence capabilities not only provide enhanced visibility into IT operations but also generate strategic insights that are critical for maintaining a competitive edge in today's data-centric landscape.

Teradata: Data Warehousing and Analytics Solutions

Teradata stands out as a leader in information warehousing and analytics, offering robust solutions tailored for large-scale management. Its platform integrates, analyses, and visualises data from various sources, enabling organisations to gain deeper insights and make informed decisions. Eric Schmidt, Executive Chairman at Google, highlights the increasing reliance on skilled analytics professionals, which is vital for converting vast amounts of generated data into actionable insights.

With its advanced data analysis capabilities, Teradata supports a diverse array of applications, including customer insights, operational efficiency, and risk management. This versatility positions Teradata as an essential resource for businesses aiming to effectively leverage their information in an increasingly data-driven landscape.

Current trends in insight solutions for 2026 underscore the growing importance of information literacy, as companies strive to understand and utilise their informational assets. As organisations navigate the complexities of modern information environments, Teradata's solutions play a critical role in helping them remain competitive and well-informed.

Alteryx: Data Blending and Advanced Analytics Platform

Alteryx is a leading platform for analysis, recognised for its robust integration of information and advanced analytical capabilities. Its user-friendly interface allows users to prepare, blend, and analyse data from various sources without the need for extensive coding skills.

Key features of Alteryx include:

• Predictive analysis
• Spatial analysis
• Visualisation

These features collectively empower organisations to extract valuable insights and enhance decision-making processes. Forecasts indicate that the global data analysis market is expected to reach $83.79 billion by the end of 2026, underscoring the growing importance of advanced analytical tools.

By streamlining the data preparation stage, Alteryx enables users to concentrate on analysis, ultimately driving significant organisational outcomes. As companies increasingly adopt predictive analysis in 2026, Alteryx's role in optimising data workflows becomes crucial, positioning it as an essential tool for enterprises seeking to leverage insights for strategic advantage.

According to McKinsey & Company, firms that utilise data analysis have reported up to a 15% reduction in project costs and 10 to 20% faster project completion, highlighting the tangible benefits of employing platforms like Alteryx in today's competitive landscape.

IBM: Innovative Data Mining and Analytics Solutions

IBM provides a comprehensive suite of advanced solutions designed for data mining companies to help organisations extract actionable insights from their data. Leading platforms such as IBM Watson and IBM SPSS offer sophisticated analytical capabilities, including:

1. Predictive modelling
2. Machine learning
3. Natural language processing

These tools empower organisations to enhance decision-making processes, optimise operations, and drive growth through data-driven strategies.

As of 2026, IBM Watson continues to advance, integrating the latest developments in artificial intelligence and machine learning. This evolution significantly enhances its predictive data analysis capabilities, allowing companies to anticipate market trends and consumer behaviours with increased accuracy. Consequently, data mining companies that leverage IBM Watson not only improve operational efficiency but also gain a competitive edge within their industries.

The impact of IBM Watson on business analysis is substantial, with numerous organisations reporting marked improvements in their analytical capabilities. By harnessing IBM's analytical solutions, companies can transform raw data into strategic insights, fostering informed decision-making and stimulating innovation across all operational levels.

SAS: Pioneering Analytics and Data Mining Software

SAS is recognised as a leader among data mining companies for its analysis and information mining software, showcasing robust capabilities in statistical examination and predictive modelling. Its comprehensive solutions enable organisations to analyse complex data sets, uncovering critical patterns that inform strategic decision-making.

In 2026, the demand for customer segmentation analysis is projected to rise, with over 70% of companies expected to utilise these tools to enhance targeting and personalization efforts. The global predictive data analysis market is anticipated to reach USD 94.8 billion by 2032, growing at a CAGR of 21.4% from 2024 to 2032. This growth underscores the increasing reliance on strategies developed by data mining companies.

Advanced analytics tools from data mining companies like SAS play a crucial role in applications such as customer segmentation and risk assessment, allowing firms to optimise operations and effectively mitigate potential risks. Data mining companies have shown through real-world applications of SAS that significant improvements can be made in customer understanding and risk management, showcasing its vital role in helping organisations leverage information for competitive advantage.

Industry leaders highlight the integration of predictive modelling tools as a key trend for 2026, as organisations increasingly depend on data mining companies to implement data-driven strategies that anticipate market shifts and enhance customer engagement. Udo Sglavo, Vice President of Applied AI and Modelling Research & Development, notes that AI agents are evolving into teammates, aligning with trends in predictive modelling tools. As the landscape evolves, SAS remains an essential asset for companies aiming to harness information analysis for sustained growth and operational excellence.

KNIME: Open-Source Data Analytics and Machine Learning Platform

KNIME is recognised as a leading open-source analytics platform, providing a robust environment for data science and machine learning. Its intuitive visual workflow interface allows users to construct processing pipelines with minimal coding knowledge, making it accessible to a broader audience. Industry specialists note that this visual workflow interface significantly enhances productivity, enabling scientists to focus on extracting insights rather than getting bogged down in complex coding.

Furthermore, KNIME seamlessly integrates with numerous data sources and offers a wide array of extensions for advanced analysis, solidifying its reputation as a versatile tool for both professionals and analysts. By promoting collaboration and the sharing of workflows, KNIME fosters a community-driven approach to analytics, aligning with emerging trends in open-source scientific tools for 2026.

Successful applications of KNIME have demonstrated its effectiveness across various analytical projects, underscoring its capacity to support collaborative efforts and drive impactful results.

RapidMiner: Data Science and Predictive Analytics Platform

RapidMiner stands out as a leading analytics platform, providing a robust environment for developing and deploying predictive models. Its intuitive interface allows users to perform data preparation, modelling, and evaluation without requiring extensive programming expertise.

The platform supports a wide range of machine learning algorithms and integrates seamlessly with popular data sources, making it an essential tool for organisations aiming to harness insights for predictive analytics.

By streamlining the analytics workflow, RapidMiner empowers users to focus on extracting insights and enhancing business outcomes.

Dataiku: Collaborative Data Science and Machine Learning Platform

Dataiku serves as a cooperative analytics platform designed to enhance team collaboration on information-driven projects. Its intuitive interface allows data scientists and analysts to seamlessly work together throughout the stages of data preparation, modelling, and deployment.

The platform supports a diverse range of machine learning algorithms and provides tools for automating workflows. This functionality simplifies the process for organisations, enabling them to effectively leverage insights from data mining companies.

By fostering teamwork and streamlining scientific processes, Dataiku significantly enhances teams' capabilities in facilitating evidence-based decision-making.

H2O.ai: Open-Source Machine Learning and Data Mining Solutions

H2O.ai stands out as a leading open-source platform, offering robust machine learning capabilities that are valuable for data mining companies and tailored for a diverse user base. Its user-friendly interface accelerates the development and deployment of machine learning models, making it an optimal choice for organisations looking to leverage their data effectively. With support for a wide array of algorithms, H2O.ai also features automated machine learning tools, democratising access to advanced data analysis for users across all skill levels.

The platform's ability to empower enterprises with predictive insights is particularly noteworthy. By utilising H2O.ai, organisations can transform raw data into actionable insights, facilitating insight-driven decision-making that promotes innovation and competitive advantage. As automated machine learning continues to reshape analytics in 2026, companies leveraging H2O.ai are poised to capitalise on these advancements, optimising their operations and enhancing overall efficiency.

In conjunction with H2O.ai, Appstractor offers advanced information mining solutions that automate web data extraction through flexible proxy options. Their services include rotating proxy servers, which become operational within 24 hours, and comprehensive service delivery, ensuring that companies can efficiently scale their data collection efforts. Appstractor's tailored AWS cloud management and optimised infrastructure further streamline the information management process, empowering businesses to grow and innovate. By integrating Appstractor's capabilities with H2O.ai, data mining companies can significantly enhance their utilisation of data and achieve notable improvements in operational efficiency and decision-making accuracy.

Hitachi Vantara: Data Management and Analytics Solutions

Hitachi Vantara offers robust information management and analytical solutions that empower organisations to optimise their resources for actionable insights. The platform integrates diverse information sources seamlessly, providing advanced tools for integration, visualisation, and analysis. By leveraging state-of-the-art analytics capabilities alongside customised AWS cloud management solutions, Hitachi Vantara helps businesses uncover essential insights that improve operational efficiency and foster innovation. This strategic focus on effective information management allows organisations to utilise their data efficiently, cultivating a culture of evidence-based decision-making and innovation.

Apache Software Foundation: Open-Source Data Mining Tools

The Apache Software Foundation hosts a range of open-source projects that provide robust information mining tools. Notable among these are Apache Mahout and Apache Spark, which empower users to perform complex analyses and machine learning tasks. By offering accessible and scalable solutions, the Apache Software Foundation enables organisations to leverage information for valuable insights and innovation. Its commitment to open-source development fosters collaboration and community-driven advancements among data mining companies.

CB Insights: Market Intelligence and Data Analytics Platform

CB Insights is a leading market intelligence platform that leverages data analytics to provide essential insights into private companies and emerging market trends. By utilising advanced algorithms and maintaining comprehensive databases, CB Insights empowers organisations to monitor competitors, assess market opportunities, and make informed strategic decisions.

This data-driven approach enhances decision-making accuracy and fosters innovation and growth in a rapidly evolving business landscape. Notably, over 80% of businesses have reported increased revenue by leveraging real-time information, highlighting the platform's effectiveness in securing a competitive edge.

Successful implementations of CB Insights demonstrate its capacity to deliver actionable insights, enabling organisations to stay ahead of market trends and refine their strategies for success.

UiPath: Robotic Process Automation and Data Mining Enhancements

UiPath stands at the forefront of robotic process automation (RPA), significantly enhancing information extraction and analytical capabilities for organisations. By automating repetitive tasks and streamlining workflows, UiPath's platform not only boosts operational efficiency but also empowers businesses to extract actionable insights from their data. The integration of RPA with analytics enables companies to optimise processes, fostering innovation and informed decision-making.

As the RPA landscape evolves, industry leaders emphasise the critical role of automation in enhancing information mining. For example, UiPath's solutions have proven effective in dramatically reducing processing times. A notable instance is JPMorgan Chase's in-house tool, COIN, which now reviews 12,000 commercial credit agreements in seconds-a task that previously consumed 360,000 hours annually. This illustrates how RPA can transform data-intensive workflows into streamlined processes.

Looking ahead to 2026, trends suggest that over 80% of automation initiatives will integrate AI-enabled RPA, further improving operational efficiency by 20-30% when implemented at scale. The increasing adoption of RPA is anticipated to result in substantial cost savings, with businesses achieving a return on investment (ROI) of 30-200% within the first year. As organisations increasingly recognise the value of combining RPA with information mining, data mining companies play a key role in facilitating this transition, enabling firms to leverage their data for strategic advantage.

Entrans: Data Mining Services and Solutions

Entrans excels in providing information mining services that empower data mining companies to extract valuable insights from their data. Its portfolio encompasses custom analytics solutions, information cleaning, and enrichment services, all crafted to help businesses leverage their information effectively. By prioritising tailored solutions, Entrans enables organisations to make informed, data-driven decisions that optimise operations and foster growth.

The firm's commitment to high-quality information mining services from data mining companies ensures clients can fully harness the potential of their data, positioning them for success in an increasingly information-centric landscape. As the demand for personalised analytics continues to escalate, Entrans remains at the forefront, adapting to the latest trends and innovations in the field to enhance business performance.

Furthermore, by utilising AWS cloud management, Entrans enhances its information mining capabilities, promoting efficiency and innovation for its clients. However, the information mining and modelling market faces challenges such as privacy concerns and a shortage of skilled professionals. Entrans navigates these obstacles through its unwavering commitment to quality and innovation.

Industry projections indicate that the global healthcare predictive analytics market is anticipated to grow from USD 20.16 billion in 2021 to USD 74.62 billion by 2028, reflecting a robust CAGR of 27%. This underscores the increasing importance of data mining companies and their services across various sectors. As Prashanth Southekal notes, "Companies possess a vast amount of information, but success isn’t about gathering information; it’s about managing it and gaining insight." Entrans's strategic focus on tailored data solutions positions it effectively within this evolving landscape, ensuring it meets client needs while addressing the competitive dynamics of the market.

Azumo: Data Mining and Analytics Solutions

Azumo stands out as a leading software development firm that provides solutions for data mining companies and analytics. The company is dedicated to helping organisations create intelligent applications. By offering services such as extraction, analysis, and visualisation, Azumo empowers businesses to transform raw data into actionable insights, much like data mining companies do. This capability is crucial in today's data-driven landscape, where effective information utilisation can significantly enhance operational efficiency and foster innovation.

Utilising advanced technologies, Azumo enables organisations to adopt data-driven strategies that are enhanced by data mining companies to optimise their operations. The firm's commitment to delivering high-quality solutions ensures that clients can fully leverage their data's potential, facilitating informed decision-making and strategic growth.

As we look ahead to 2026, the impact of information visualisation on corporate intelligence remains profound. Organisations increasingly rely on visual tools to analyse complex data sets. Industry leaders emphasise the importance of developing intelligent applications that not only analyse data but also present it in ways that enhance understanding and support rapid decision-making. Experts assert, "Data is the sword of the 21st century; those who wield it well, the samurai." This perspective highlights the necessity for data mining companies to invest in robust information solutions that can adapt to evolving market demands.

As trends in intelligent application development progress, Azumo continues to lead the way, integrating cutting-edge technologies and methodologies to ensure its clients remain competitive in a fast-changing environment. By focusing on innovation and the effective use of information, Azumo is not only reshaping business insights but also influencing the future of intelligent application development.

Aristek Systems: Data Mining Services and Technology Solutions

Aristek Systems stands out as a leader in custom software development, particularly in mining services and advanced technology solutions. The expertise in data science of data mining companies enables organisations to extract valuable insights from their data, leading to significant improvements in operational efficiency. By offering tailored solutions, Aristek empowers businesses to optimise their processes and make informed, data-driven decisions.

Industry forecasts indicate that the global custom software development sector is expected to grow at a CAGR of 22.5% from 2024 to 2030, underscoring the increasing demand for customised data solutions provided by data mining companies. Furthermore, evidence-based strategies are projected to outperform instinctive methods in 65% of B2B sales firms by 2026, highlighting the importance of effective information utilisation.

This commitment to exceptional service not only helps clients gain a competitive edge but also positions Aristek as one of the top data mining companies at the forefront of adapting to emerging trends in software development and data analysis, addressing the evolving needs of enterprises by 2026.

Sisense: Business Intelligence and Data Mining Simplified

Sisense is recognised among data mining companies as an AI-powered insights platform that revolutionises organisational intelligence and information mining. Its intuitive interface simplifies the analysis, visualisation, and integration of data from various sources into cohesive dashboards. Key features such as advanced analysis, information modelling, and real-time insights empower companies to make swift, informed decisions. By optimising the analytics process, Sisense not only boosts operational efficiency but also allows organisations to fully leverage their data, fostering significant growth.

Enhancing Sisense's capabilities, Appstractor provides advanced information mining solutions that facilitate web content extraction, akin to the services offered by data mining companies through flexible proxy options. With offerings like:

1. Rotating Proxy Servers for self-serve IPs
2. Full Service for turnkey data delivery

Appstractor guarantees that the data feeding into Sisense's insights is accurate, structured, and readily accessible. Supported formats include JSON, CSV, and more, ensuring seamless integration into existing workflows.

Conclusion

The exploration of leading data mining companies reveals a transformative landscape where technology plays a pivotal role in turning raw data into actionable insights. These firms, equipped with advanced tools and innovative solutions, are not only enhancing operational efficiency but also reshaping how businesses make strategic decisions. By leveraging data mining capabilities, organisations can navigate the complexities of today's market, gaining a competitive edge through informed decision-making.

Key insights from the article highlight the diverse offerings of various companies:

• Appstractor: Cloud management solutions.
• Domo: Intuitive data visualisation tools.
• Splunk: Operational intelligence capabilities.

Each company brings unique strengths to the table, enabling businesses to harness data effectively. The emphasis on automation, predictive analytics, and collaborative platforms underscores the growing reliance on data-driven strategies across industries, with projections indicating substantial growth in the data mining sector.

As organisations continue to embrace these advancements, the call to action is clear: invest in data mining solutions to unlock the full potential of information. The future of business intelligence hinges on the ability to adapt to emerging technologies and trends. Companies that prioritise data mining will not only enhance their operational capabilities but also position themselves for sustained success in an increasingly competitive landscape. Embracing these tools is not merely a choice; it is a necessity for thriving in the modern business environment.

Frequently Asked Questions

What is Appstractor and what services does it offer?

Appstractor is a technology firm specialising in advanced digital tools for enhancing operational processes, particularly in cloud computing and data mining. It offers AWS Cloud Management services, including auto-scaling, resource optimization, and a centralised management dashboard.

How does Appstractor's AWS Cloud Management service benefit organisations?

The AWS Cloud Management service allows organisations to monitor their infrastructure effectively, automate DevOps processes, and ensure compliance with security standards, leading to improved operational efficiency, increased agility, and reduced costs.

What advancements in data mining technologies are highlighted for 2026?

The advancements in 2026 focus on improving data extraction processes, enabling organisations to gain actionable insights more efficiently.

What is Domo and what features does it provide?

Domo is a cloud-based analytics platform that integrates information from various sources, allowing organisations to visualise and analyse their data effectively. Key features include customizable dashboards, automated reporting, and advanced analytics.

How does Domo enhance decision-making for organisations?

Domo's user-friendly interface and visualisation tools can lead to a 30% increase in decision-making speed, and successful implementations have resulted in up to a 25% reduction in reporting time.

What is the significance of the Business Intelligence (BI) market?

The BI market is projected to grow from $38.62 billion in 2025 to $116.25 billion by 2033, highlighting the increasing importance of data visualisation and analytics tools in business.

What role does Splunk play in operational intelligence?

Splunk is a leader in operational intelligence, enabling organisations to collect, analyse, and visualise machine-generated information in real-time, which helps in identifying patterns and anomalies for proactive decision-making.

How does Splunk improve IT operations and security?

Splunk’s tools streamline incident response and bolster security measures, leading to enhancements in operational stability and threat detection capabilities.

What is Teradata known for?

Teradata is recognised for its data warehousing and analytics solutions, which integrate, analyse, and visualise data from various sources to help organisations gain deeper insights and make informed decisions.

What trends are emerging in data analysis for 2026?

There is a growing importance of information literacy and the reliance on skilled analytics professionals to convert vast amounts of data into actionable insights, as organisations navigate complex information environments.

What are the key features of Alteryx?

Alteryx is known for its data blending and advanced analytics capabilities, featuring predictive analysis, spatial analysis, and visualisation tools that enable users to prepare and analyse data effectively.

How does Alteryx contribute to organisational outcomes?

By streamlining data preparation, Alteryx allows users to focus on analysis, leading to significant improvements in decision-making processes and reported reductions in project costs and faster project completion times.

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• Small but mighty: H2O.ai's new AI models challenge tech giants in document analysis (https://venturebeat.com/ai/small-but-mighty-h2o-ais-new-ai-models-challenge-tech-giants-in-document-analysis)
• Machine Learning Statistics 2026: Market Growth, Adoption, ROI, Jobs, and Future Trends (https://mindinventory.com/blog/machine-learning-statistics)
• 200+ Incredible AI Statistics [October 2026] (https://masterofcode.com/blog/ai-statistics)

12. Hitachi Vantara: Data Management and Analytics Solutions

• 23 Must-Read Quotes About Data [& What They Really Mean] (https://careerfoundry.com/en/blog/data-analytics/inspirational-data-quotes)
• Data Landscape 2026: 25 Trends on Data Platforms, AI & More (https://blog.bismart.com/en/data-trends-2026-business-advantage)
• Data Analytics Statistics 2026 | Latest Insights & Trends (https://data.folio3.com/blog/data-analytics-stats)
• Top data management trends for 2026 (https://n-ix.com/data-management-trends)

14. CB Insights: Market Intelligence and Data Analytics Platform

• 65% of Organizations Will Make Fully Data-driven Decisions By 2026. Here Are 3 Key Reasons to Join Them - CloudTalk (https://cloudtalk.io/blog/65-of-organizations-will-make-fully-data-driven-decisions-by-2026-here-are-3-key-reasons-to-join-them)
• CB Insights partners with Snowflake to bring predictive intelligence to Cortex AI | Manlio Carrelli posted on the topic | LinkedIn (https://linkedin.com/posts/mcarrelli_big-news-cb-insights-partnered-with-snowflake-activity-7379867826125242369-kYAq)
• The role of data analytics and data-driven insights in business decision-making - University of Sunderland (https://online.sunderland.ac.uk/the-role-of-data-analytics-and-data-driven-insights-in-business-decision-making)
• The Future of Data Analytics: Trends in 7 Industries [2025] (https://coherentsolutions.com/insights/the-future-and-current-trends-in-data-analytics-across-industries)
• CB Insights announced the launch of its Team of Agents (https://martechcube.com/cb-insights-announced-the-launch-of-its-team-of-agents)

15. UiPath: Robotic Process Automation and Data Mining Enhancements

• Top Robotic Process Automation Statistics to Know in 2026 (https://ramamtech.com/blog/top-robotic-process-automation-statistics)
• MLQ.ai | AI for investors (https://mlq.ai/news/uipath-reports-strong-q3-fiscal-2026-earnings-with-significant-profitability-turnaround)
• RBC Cuts UiPath (PATH) PT to $17 Highlighting 2026 as a Year of Divergence for Software Sector (https://finviz.com/news/270686/rbc-cuts-uipath-path-pt-to-17-highlighting-2026-as-a-year-of-divergence-for-software-sector)
• 45+ Business Process Automation Stats, Facts & Trends for 2026 (https://2am.tech/blog/business-process-automation-statistics-facts-trends)
• Robotic Process Automation (RPA) Market Size Expands from USD 35.27 Bn in 2026 to USD 247.34 Bn by 2035 Fueled by AI-Powered Automation and Digitalization (https://finance.yahoo.com/news/robotic-process-automation-rpa-market-124400884.html)

16. Entrans: Data Mining Services and Solutions

• 20 Data Science Quotes by Industry Experts (https://coresignal.com/blog/data-science-quotes)
• Data Analytics Statistics 2026 | Latest Insights & Trends (https://data.folio3.com/blog/data-analytics-stats)
• Data Mining and Modeling Brands 2026: Size & Competitive Demand 2033 (https://linkedin.com/pulse/data-mining-modeling-brands-2026-size-competitive-tcz8c)
• 51 Best Quotes on Data Science by Thought Leaders (https://datasciencedojo.com/blog/best-quotes-on-data-science)
• 15 quotes and stats to help boost your data and analytics savvy | MIT Sloan (https://mitsloan.mit.edu/ideas-made-to-matter/15-quotes-and-stats-to-help-boost-your-data-and-analytics-savvy)

17. Azumo: Data Mining and Analytics Solutions

• 23 Must-Read Quotes About Data [& What They Really Mean] (https://careerfoundry.com/en/blog/data-analytics/inspirational-data-quotes)
• Inspiring Data Quotes to Remember in Your Spare Time (https://nb-data.com/p/inspiring-data-quotes-to-remember)
• Azumo: Top-Rated Software Development Company (https://azumo.com)
• 200 Inspirational Quotes About Data and Analytics [2026] (https://digitaldefynd.com/IQ/inspirational-quotes-about-data-and-analytics)

18. Aristek Systems: Data Mining Services and Technology Solutions

• Data Analytics Statistics 2026 | Latest Insights & Trends (https://data.folio3.com/blog/data-analytics-stats)
• Software Development Outsourcing Statistics You Need To Know in 2026 (https://10pearls.com/software-development-outsourcing-statistics-2025)
• 65% of Organizations Will Make Fully Data-driven Decisions By 2026. Here Are 3 Key Reasons to Join Them - CloudTalk (https://cloudtalk.io/blog/65-of-organizations-will-make-fully-data-driven-decisions-by-2026-here-are-3-key-reasons-to-join-them)
• 101+ Software Development Statistics You Should Know in 2026 (https://mindinventory.com/blog/software-development-statistics)
• 80+ software development statistics | Appfire (https://appfire.com/resources/blog/software-development-statistic)

19. Sisense: Business Intelligence and Data Mining Simplified

• AI Adoption Statistics in 2026 (https://netguru.com/blog/ai-adoption-statistics)
• Sisense unveils new suite of AI-powered capabilities | TechTarget (https://techtarget.com/searchbusinessanalytics/news/366624918/Sisense-unveils-new-suite-of-AI-powered-capabilities)
• Sisense Unveils Sisense Intelligence: GenAI to Bridge the Gap Between Data and Action (https://finance.yahoo.com/news/sisense-unveils-sisense-intelligence-genai-100000387.html)
• Sisense Unveils Sisense Intelligence: GenAI to Bridge the Gap Between Data and Action (https://sisense.com/press-release/sisense-unveils-sisense-intelligence)
• 131 AI Statistics and Trends for (2024) | National University (https://nu.edu/blog/ai-statistics-trends)