Knowledge Mining Solution

Veraqor provides customized knowledge-mining solutions that extract valuable insights from diverse data sources, giving businesses a competitive edge through advanced machine-learning algorithms and expertise in unlocking hidden data value.
Applied AI

80%

or more organizations reported that they are investing in AI initiatives​.

76%

of companies in 2024 are either piloting or implementing real-world AI solutions​.

∼40%

is the amount of productivity boost reported by various organizations.

What You Can Do

Fragmented data slows discovery, but AI-driven knowledge mining integrates it for instant insights.
With diverse data often spread across multiple platforms and formats, extracting valuable insights becomes difficult. Knowledge mining uses AI to gather, process, and organize this data, allowing businesses to gain actionable insights from a unified, comprehensive view. This not only accelerates decision-making but also reveals hidden patterns and trends that are otherwise missed, driving innovation and strategy.
Unstructured data is hard to use, but AI converts it into actionable intelligence.
Unstructured data, like emails or reports, often goes underutilized. AI-driven knowledge mining can sift through this unorganized data, converting it into meaningful, structured formats. By organizing and analyzing this content, businesses can derive deeper insights that enable data-driven decisions, improving everything from customer engagement to operational efficiencies.
Manual searches drain time, but AI accelerates data retrieval.
The traditional, manual approach to searching data across silos is time-consuming and inefficient. AI-powered knowledge mining automates these tasks, quickly uncovering relevant data from vast information pools. This allows teams to retrieve information faster, make quicker decisions, and focus on high-priority tasks, reducing operational delays.
Customer insights remain untapped, but knowledge mining uncovers hidden preferences for targeted strategies.
Gleaning actionable insights from customer data can be challenging without the right tools. Knowledge mining helps organizations analyze customer behaviors and preferences from multiple touchpoints, enabling more targeted marketing strategies, improved product offerings, and a better overall customer experience.

Technical Capabilities

Our Partnerships

PRimo-RPA-white

Growth Recognition

CL-KSA
USA

See How Organizations Are Innovating

Situation

Repsol, a multi-energy giant with over 24,000 employees across 30+ countries, faced a significant challenge: how to encourage innovation and autonomy among its diverse workforce. The company relied heavily on manual processes and spreadsheets, limiting employee productivity and digital transformation efforts.

Solution

Repsol launched the "Do It Yourself" (DIY) program, utilizing Microsoft’s Power Platform to empower employees to develop low-code apps. This enabled them to harness knowledge mining, automate tasks, and extract valuable insights from operational data. The DIY Center of Excellence provided governance and support, ensuring success across departments.

Impact​

Repsol’s DIY Program saved €5 million in two years and fostered a major cultural shift. Over 486 custom apps optimized processes, reduced manual work, and empowered employees. Knowledge mining capabilities led to improved productivity, operational efficiency, and data-driven decision-making across the organization.

Situation

Beiersdorf’s R&D team of 900 scientists faced challenges accessing critical data, spread across more than 800 SharePoint sites and Data Lake repositories. With information scattered and difficult to retrieve, researchers spent excessive time searching for relevant research, slowing down innovation and hindering the development of new skin care solutions.

Solution

Beiersdorf adopted Microsoft Azure AI's Knowledge Mining capabilities, centralizing vast data repositories through advanced search, document summarization, and optical character recognition (OCR). This AI-powered solution streamlined the retrieval process by indexing terabytes of data, enabling researchers to quickly find relevant insights, spend less time searching, and focus more on innovation.

Impact​

The Knowledge Mining solution dramatically improved research efficiency at Beiersdorf, saving time and accelerating product development. Researchers now access critical data faster, allowing them to concentrate on advancing skin care innovations. The AI-powered system also ensures that new research is easily archived, making Beiersdorf a leader in leveraging its institutional knowledge for future success.

Generating Business Value Across Functions

Enhancing Policy Making with Data-Driven Insights
Knowledge mining in government sectors helps analyze public data, reports, and documents, providing policymakers with actionable insights to develop evidence-based policies, streamline processes, and address citizens' needs more effectively.
Timely Fraud Detection and Risk Mitigation
By mining financial data and transaction records, institutions can detect anomalies, predict fraud patterns, and assess risks. This improves decision-making and strengthens the prevention of fraudulent activities across banking systems.
Optimizing Production Efficiency in Manufacturing
Knowledge mining can analyze sensor data, maintenance logs, and production reports to uncover inefficiencies. Manufacturers can use these insights to optimize workflows, reduce downtime, and improve overall production efficiency.
Enhancing Exploration and Production in O&G
In oil and gas, mining data from geological surveys and operational reports helps companies uncover new exploration opportunities, optimize drilling processes, and improve production forecasting, leading to cost savings and operational efficiency.
Improving Resource Extraction in Mining Ops
By analyzing geological data and historical mining records, companies can optimize resource extraction, reduce operational risks, and identify the most efficient extraction methods, boosting productivity and sustainability.
Personalizing Customer Experiences in Retail
Retailers use knowledge mining to analyze customer purchasing behavior, feedback, and preferences. This data-driven insight enables the creation of personalized shopping experiences, improving customer satisfaction and driving loyalty.
Predictive Logistics and Inventory Management
Knowledge mining enables businesses to predict supply chain disruptions, optimize inventory levels, and enhance logistics planning. This results in streamlined operations, reduced costs, and improved supply chain resilience.
Regulatory Compliance and Reporting Automation

Knowledge mining helps financial institutions automate the analysis of regulatory documents, ensuring compliance with complex financial regulations, and reducing the manual effort required for compliance reporting.