Startup News: Essential Tips and Steps to Improve Data Intelligence in 2025

Elevate data intelligence in data-rich organizations by integrating systems, enhancing analytics, leveraging AI, and ensuring quality for smarter decision-making.

F/MS Startup Game - Startup News: Essential Tips and Steps to Improve Data Intelligence in 2025 (How To Improve Data Intelligence Amongst Data-Rich Organisations)

In today’s rapidly evolving business world, organizations are sitting on mountains of data, yet only a handful are able to turn that data into actionable intelligence. From the standpoint of Violetta Bonenkamp, serial entrepreneur and creator of the gamepreneurship methodology, the core problem lies not in the ability to collect data but in the capacity to effectively analyze and apply it. As businesses increasingly define success by their ability to make informed, data-driven decisions, the ability to harness data intelligence has become not just a competitive edge but a necessity.


Understanding Data Intelligence: The Power Beyond Data Collection

Data intelligence involves transforming raw, abundant datasets into structured, useful insights that drive business strategies, operational efficiency, and growth. For data-rich organizations – those with warehouses or repositories bursting with information – the real challenge lies in improving their ability to convert these numbers into game-changing initiatives.

“You might think data abundance is an advantage, but it’s only valuable if the insights extracted support a clear goal or decision-making process," Violetta explains. “Otherwise, you’re simply drowning in numbers, unable to see the patterns or opportunities they hold.”


5 Ways To Improve Data Intelligence in Your Organization

Drawing on her multidisciplinary expertise in linguistics, game design, and artificial intelligence, Violetta lays out a practical framework for organizations ready to step up their data intelligence game:

  1. Build a Data Integration Framework
    Consolidate disparate data sources into a unified system for better analytics. A fragmented data landscape creates silos that hinder effective insights. Leveraging platforms like Databricks for Data Integration can automate the process and ensure your team works with consistent, high-quality data.

  2. Leverage Artificial Intelligence and Automation
    Using AI tools to analyze and visualize data significantly reduces human error and increases efficiency. AI enables the detection of trends, patterns, and anomalies at scale. Companies like Nextant have demonstrated how AI agents can summarize reports, flag inconsistencies, and provide real-time insights that transform operations.

  3. Focus on Data Quality Assurance
    Violetta emphasizes that actionable intelligence starts with clean, reliable data. According to reports, inaccurate data costs businesses an average of $15 million annually. Conduct regular audits, prioritize deduplication, and implement robust validation systems to reduce errors and inconsistencies.

  4. Empower Teams with Visualization Tools
    Data visualization bridges the gap between analytics and comprehension. Visual tools like bar charts, scatter plots, and dynamic dashboards make complex datasets understandable and actionable. Platforms such as Insight7 offer simplified visuals to make your data instantly usable across departments.

  5. Hire and Invest in Data Talent
    A critical shift in strategy involves building robust data teams or appointing Chief Data Officers (CDOs). These individuals play a key role in transforming traditional insights into modern strategies. Violetta notes, “The rise of data leadership is pivotal to ensure data intelligence becomes a fully integrated business function rather than a support service."


Most Common Mistakes to Avoid When Targeting Data Intelligence

While advanced tools abound, not all organizations succeed in their data journey. Violetta cautions against common pitfalls:

  • Over-reliance on AI: Expecting AI to solve every data problem is misguided. Automation augments processes, but human strategy must set parameters and interpret nuanced outputs.
  • Neglecting Data Governance: Without clear governance, companies risk undermining security, compliance, and ethical considerations.
  • Failing to Ask the Right Questions: Before designing analytics workflows, pinpoint the goals and key metrics that matter most to your business strategy.
  • Missing Out on Collaboration: Silos in data systems lead to misalignment. Prioritize cross-departmental data-sharing practices.

Step-By-Step Guide to Turning Your Data Into Intelligence

  1. Audit Data Sources
    Begin by mapping out all available data streams and identifying gaps, inconsistencies, and duplications.

  2. Create a Game Plan for Integration
    Invest in tools and applicable software to consolidate your data warehouse and other repositories.

  3. Choose Analytics Platforms Based on Goals
    Whether it's customer churn predictions or operational efficiency, tools like Elastic allow customizable analytics to align with precise goals.

  4. Visualize Insights Across Teams
    Use tools like dashboards to ensure that every department extracts relevant, actionable insights from shared datasets.

  5. Track KPIs and Evolve
    Treat data intelligence like a growing organism. Continuously refine workflows, reassess priorities, and evolve strategies as trends shift.


Embracing Data as a Strategic Asset

For Bonenkamp, the real value of data lies in its interdisciplinary application. Just as she has combined neuroscience, linguistics, and AI to create innovative solutions like CADChain’s blockchain initiatives, organizations must learn to blend data with deeper strategic thinking to unlock its potential.

“People see data as numbers, but I see data as cross-disciplinary stories… woven across industries, markets, and time,” she shares.

Organizations that rise above the “data-rich” plateau often understand narratives, trends, and predictive elements woven into data structures. Leaders poised to make data intelligence central to their decisions will not only enhance their market position but also secure future-proof strategies.


In Conclusion

Improving data intelligence is an ongoing journey. Whether you are an entrepreneur diving into analytics for the first time or a business owner scaling operations, committing to data quality, integration, and visualization are key steps forward. Tools like Databricks or Insight7 can streamline these efforts, but the ultimate transformation depends on strategy and people.

“Data intelligence isn’t just a competitive advantage,” Violetta emphasizes. “It’s the grammar of your organization’s future language.”

FAQ

1. What is data intelligence in a business context?
Data intelligence involves transforming raw datasets into actionable insights that drive decision-making, operational efficiency, and strategic growth. Learn more about data intelligence strategies

2. How can organizations improve data integration?
Organizations can consolidate fragmented data sources into unified systems to eliminate silos and enhance analytics. Tools like Databricks assist in automating this process. Explore Databricks for data integration

3. What role does artificial intelligence play in data intelligence?
AI helps analyze and visualize data, detect trends, and flag anomalies, improving accuracy and reducing human error. Companies like Nextant use AI agents for real-time insights. Learn how AI aids data intelligence at Nextant

4. Why is data quality assurance important?
Actionable intelligence relies on clean, accurate data. Poor data quality costs businesses millions annually. Regular audits and validation systems help maintain data reliability.

5. How does data visualization enhance intelligence?
Visualization tools like dynamic dashboards make complex datasets understandable, fostering cross-department collaboration. Platforms like Insight7 specialize in simplified visuals. Discover how Insight7 improves data visualization

6. What is the importance of hiring data talent?
Investing in skilled data professionals, such as Chief Data Officers, is critical for integrating data intelligence into business strategy and maintaining competitive advantage.

7. What are common mistakes in data intelligence initiatives?
Mistakes include over-reliance on AI, neglecting data governance, failing to define clear goals, and maintaining siloed systems that hinder collaboration.

8. What steps can organizations take to turn data into actionable intelligence?
Start by auditing data sources, integrate them using suitable platforms, visualize insights, and track KPIs to refine strategies continuously. Tools like Elastic help align analytics with business goals. Learn about analytics optimization with Elastic

9. What trends are shaping data intelligence for organizations?
Trends include the rise of Chief Data Officers, advancements in AI-driven analytics, and the strategic integration of data across functions to achieve operational efficiency.

10. How does strategic thinking enhance data intelligence?
Combining data with interdisciplinary perspectives enables organizations to uncover narratives, predict trends, and create future-proof strategies. Insights from Violetta Bonenkamp on blending data with strategy

About the Author

Violetta Bonenkamp, also known as MeanCEO, is an experienced startup founder with an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 5 years as a solopreneur and serial entrepreneur. Throughout her startup experience she has applied for multiple startup grants at the EU level, in the Netherlands and Malta, and her startups received quite a few of those. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely.

Violetta Bonenkamp's expertise in CAD sector, IP protection and blockchain

Violetta Bonenkamp is recognized as a multidisciplinary expert with significant achievements in the CAD sector, intellectual property (IP) protection, and blockchain technology.

CAD Sector:

  • Violetta is the CEO and co-founder of CADChain, a deep tech startup focused on developing IP management software specifically for CAD (Computer-Aided Design) data. CADChain addresses the lack of industry standards for CAD data protection and sharing, using innovative technology to secure and manage design data.
  • She has led the company since its inception in 2018, overseeing R&D, PR, and business development, and driving the creation of products for platforms such as Autodesk Inventor, Blender, and SolidWorks.
  • Her leadership has been instrumental in scaling CADChain from a small team to a significant player in the deeptech space, with a diverse, international team.

IP Protection:

  • Violetta has built deep expertise in intellectual property, combining academic training with practical startup experience. She has taken specialized courses in IP from institutions like WIPO and the EU IPO.
  • She is known for sharing actionable strategies for startup IP protection, leveraging both legal and technological approaches, and has published guides and content on this topic for the entrepreneurial community.
  • Her work at CADChain directly addresses the need for robust IP protection in the engineering and design industries, integrating cybersecurity and compliance measures to safeguard digital assets.

Blockchain:

  • Violetta’s entry into the blockchain sector began with the founding of CADChain, which uses blockchain as a core technology for securing and managing CAD data.
  • She holds several certifications in blockchain and has participated in major hackathons and policy forums, such as the OECD Global Blockchain Policy Forum.
  • Her expertise extends to applying blockchain for IP management, ensuring data integrity, traceability, and secure sharing in the CAD industry.

Violetta is a true multiple specialist who has built expertise in Linguistics, Education, Business Management, Blockchain, Entrepreneurship, Intellectual Property, Game Design, AI, SEO, Digital Marketing, cyber security and zero code automations. Her extensive educational journey includes a Master of Arts in Linguistics and Education, an Advanced Master in Linguistics from Belgium (2006-2007), an MBA from Blekinge Institute of Technology in Sweden (2006-2008), and an Erasmus Mundus joint program European Master of Higher Education from universities in Norway, Finland, and Portugal (2009).

She is the founder of Fe/male Switch, a startup game that encourages women to enter STEM fields, and also leads CADChain, and multiple other projects like the Directory of 1,000 Startup Cities with a proprietary MeanCEO Index that ranks cities for female entrepreneurs. Violetta created the "gamepreneurship" methodology, which forms the scientific basis of her startup game. She also builds a lot of SEO tools for startups. Her achievements include being named one of the top 100 women in Europe by EU Startups in 2022 and being nominated for Impact Person of the year at the Dutch Blockchain Week. She is an author with Sifted and a speaker at different Universities. Recently she published a book on Startup Idea Validation the right way: from zero to first customers and beyond, launched a Directory of 1,500+ websites for startups to list themselves in order to gain traction and build backlinks and is building MELA AI to help local restaurants in Malta get more visibility online.

For the past several years Violetta has been living between the Netherlands and Malta, while also regularly traveling to different destinations around the globe, usually due to her entrepreneurial activities. This has led her to start writing about different locations and amenities from the POV of an entrepreneur. Here’s her recent article about the best hotels in Italy to work from.

About the Publication

Fe/male Switch is an innovative startup platform designed to empower women entrepreneurs through an immersive, game-like experience. Founded in 2020 during the pandemic "without any funding and without any code," this non-profit initiative has evolved into a comprehensive educational tool for aspiring female entrepreneurs.The platform was co-founded by Violetta Shishkina-Bonenkamp, who serves as CEO and one of the lead authors of the Startup News branch.

Mission and Purpose

Fe/male Switch Foundation was created to address the gender gap in the tech and entrepreneurship space. The platform aims to skill-up future female tech leaders and empower them to create resilient and innovative tech startups through what they call "gamepreneurship". By putting players in a virtual startup village where they must survive and thrive, the startup game allows women to test their entrepreneurial abilities without financial risk.

Key Features

The platform offers a unique blend of news, resources,learning, networking, and practical application within a supportive, female-focused environment:

  • Skill Lab: Micro-modules covering essential startup skills
  • Virtual Startup Building: Create or join startups and tackle real-world challenges
  • AI Co-founder (PlayPal): Guides users through the startup process
  • SANDBOX: A testing environment for idea validation before launch
  • Wellness Integration: Virtual activities to balance work and self-care
  • Marketplace: Buy or sell expert sessions and tutorials

Impact and Growth

Since its inception, Fe/male Switch has shown impressive growth:

  • 5,000+ female entrepreneurs in the community
  • 100+ startup tools built
  • 5,000+ pieces of articles and news written
  • 1,000 unique business ideas for women created

Partnerships

Fe/male Switch has formed strategic partnerships to enhance its offerings. In January 2022, it teamed up with global website builder Tilda to provide free access to website building tools and mentorship services for Fe/male Switch participants.

Recognition

Fe/male Switch has received media attention for its innovative approach to closing the gender gap in tech entrepreneurship. The platform has been featured in various publications highlighting its unique "play to learn and earn" model.