Five Ways Data Optimisation Fuels Business Growth

Data remains one of the most valuable assets an organisation can leverage, provided it is properly managed. Without structure, context, and oversight, information rapidly shifts from being a source of insight to a source of complexity.

Data optimisation transforms this challenge into a strategic advantage. By improving how data is discovered, enriched, stored, and governed, organisations can unlock hidden value, enhance decision-making and reduce operational risk. Optimised data underpins effective analytics, supports regulatory compliance, and prepares the enterprise for AI adoption, making it a critical enabler of business growth.

Five key benefits of company data optimisation

The following are five strategic benefits that organisations can realise by prioritising data optimisation:

1. Enhanced data usability

Clean, structured and consistently governed data is easier to access, interpret and apply across the business. Optimised data reduces duplication, eliminates inaccuracies and improves the quality of reporting and analytics. When teams can trust their data, they can act faster and with more confidence.

2. Accelerated analytics and insights

Speed matters. Optimisation analytics helps reduce processing times, improve query performance, and increase visibility into critical business patterns. With real-time access to relevant, well-managed data, leaders can identify trends, adapt quickly and seize emerging opportunities to gain competitive advantage.

3. Reduced storage costs

Unmanaged data consumes unnecessary storage, drives up costs and clogs systems. Data optimisation tools streamline what’s kept, what’s archived, and what’s removed, freeing up capacity, improving performance and keeping infrastructure lean. The result is a smarter, more scalable data environment.

4. Improved regulatory compliance

Our research shows 66% of business leaders report a lack of visibility into where sensitive data resides. Data optimisation ensures information is properly classified, retained and disposed of in line with legal and regulatory requirements. By embedding governance directly into data management processes, organisations can strengthen compliance, reduce exposure to penalties and maintain greater control over sensitive information throughout its lifecycle.

5. AI readiness

For enterprises aiming to implement AI solutions, data optimisation is a critical preparatory step. Research by Gartner shows that nearly two-thirds (63%) of organisations either lack the appropriate data management practices for AI or are unsure of their readiness.

Clean, structured, and well-managed data sets are essential for training effective AI models. Optimised data ensures that AI applications function accurately and efficiently, delivering reliable and meaningful business outcomes.

Integrating data optimisation into your enterprise strategy

To harness the full value of data optimisation, organisations must embed it into their core information management strategy. The process begins with a thorough assessment of existing data assets. Organisations should identify and evaluate their current data sources for quality, relevance and business value, so efforts can be focused on producing a high-quality data foundation.

The importance of data quality cannot be overstated. Gartner predicts that through 2026, 30% of generative AI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs or unclear business value.

Clear data governance policies are essential, establishing consistent rules for classification, retention, access and disposal. Leveraging data optimisation software helps automate these processes, improving efficiency without disrupting critical systems.

Building internal capability is equally important. Teams must be equipped to manage optimised data effectively and understand its role in compliance, analytics and AI success.

Finally, optimisation should be treated as a continuous process, with regular monitoring and refinement to ensure alignment with evolving business needs.

By embedding data optimisation into enterprise operations, organisations can unlock growth, drive innovation and strengthen their competitive position.

The role of data optimisation in unlocking hidden value

Business-critical information is no longer confined to structured datasets. Valuable insights are often embedded across unstructured and semi-structured content, requiring careful management to be fully realised.

Data optimisation brings structure and governance to this complexity. It enables organisations to:

• Identify hidden patterns within unstructured data sources
• Make semi-structured information searchable, accessible and compliant
• Ensure that structured data remains accurate, complete and ready for advanced analytics

Through effective optimisation, organisations can achieve greater data visibility, enhance operational efficiency and support more informed, strategic decision-making across the enterprise.

Integrating data optimisation into enterprise data strategies

To fully realise the benefits of data optimisation software, organisations must embed optimisation practices into their broader information management strategy.

Key steps include:

1. Audit the data landscape – Conduct a thorough review to identify valuable assets, redundant content and high-risk information across all repositories.
2. Establish governance policies – Define clear, enforceable rules for data classification, retention, access and disposal, ensuring consistency and compliance.
3. Leverage automation to scale – Deploy advanced data optimisation tools capable of discovering, enriching and governing data in place, without disrupting existing systems or operations.
4. Build internal capability – Equip teams with the skills to manage optimised data effectively, and foster an understanding of its role in analytics, regulatory compliance and AI initiatives.
5. Monitor and refine continuously – Treat optimisation analysis as an ongoing discipline. Regular evaluation and adjustment ensure that optimisation efforts remain aligned with evolving business priorities.

By following these steps, enterprises can transform fragmented information environments into optimised, strategic assets that support growth, innovation and risk reduction.

How EncompaaS makes data optimisation scalable

The EncompaaS platform enables enterprises to automate data optimisation at scale, across structured, semi-structured and unstructured content, without the need for lifting, shifting or re-platforming.

By discovering, enriching and governing data in place, EncompaaS helps organisations:

• Enhance data usability and accessibility
• Accelerate time to insight and decision-making
• Reduce storage, infrastructure and management costs
• Maintain compliance with evolving data protection regulations
• Prepare datasets for AI, advanced analytics and digital transformation initiatives

Whether your focus is scaling AI adoption, strengthening governance frameworks or driving operational efficiency, EncompaaS transforms fragmented information environments into fully optimised, strategic assets.

Request your EncompaaS demo today to see data optimisation in action and discover what’s possible when your information is built for what’s next.