The importance of a cohesive data strategy and how to achieve it

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Maximilian Evans

A data strategy is a vision for how your organisation will generate, process, organise and share data, so you can maximise its value. We believe there is a clear process for developing and embedding a data strategy within the private capital markets. And this is how we typically do it.

Define Your Objectives

Clearly outline the goals and objectives of your data strategy. Identify what you want to achieve, such as improving decision-making, enhancing customer experience, optimizing operations, or gaining a competitive advantage.

Assess Your Current State

Conduct a thorough assessment of your current data landscape. Understand what data you have, where it’s stored, how it’s collected, and who uses it. Identify any existing data governance practices and assess data quality.

Create a Data Governance Framework

Establish data governance policies and procedures to ensure the quality, security, and compliance of your data. Define roles and responsibilities for data management and establish processes for data collection, storage, and usage.

Build a Data Inventory

Develop an inventory of your organization’s data assets. Categorise data based on its type, sensitivity, and importance. This inventory will help you understand what data is available and how it can be utilised.

Implement Data Quality Measures

Put in place mechanisms to ensure data quality. This may involve cleaning and standardising existing data, implementing validation rules during data entry, and regularly monitoring and maintaining data quality over time.

Invest in Data Security

Implement robust data security measures to protect sensitive information. This includes encryption, access controls, regular security audits, and compliance with relevant data protection regulations.

Choose the Right Technology

Select appropriate tools and technologies for data storage, processing, and analysis. Consider cloud-based solutions, data warehouses, and analytics platforms based on your organisation’s specific needs and requirements.

Train Your Team

Ensure that your team has the necessary skills to work with data effectively. Provide training on data analysis tools, data governance best practices, and any new technologies you’ve implemented.

Establish Data Integration

Integrate data from various sources to create a unified view. This may involve connecting different systems within your organisation or integrating external data sources for a more comprehensive analysis. At it|venture, we’ve built our own proprietary data integration tool called Connect. You can find out more about it here.

Monitor and Iterate

Regularly monitor the performance of your data strategy. Use key performance indicators (KPIs) to measure success and identify areas for improvement. Iterate on your strategy based on feedback and changing business needs.

Promote a Data-Driven Culture

Foster a culture within your organisation that values and leverages data for decision-making. Encourage collaboration and communication around data insights, and make data-driven decision-making a part of your organisational DNA.

In conclusion

Remember that implementing a data strategy is an ongoing process that requires continuous improvement and adaptation to changing business environments. Regularly reassess your data strategy to ensure it aligns with your organisation’s evolving needs and goals. If you’d like to talk to us about how to do it, then we’d love to hear from you.


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