How to build a solid business case for market data optimisation
Convincing others to change something that seems to be working is no easy task, especially when it comes to market data. Costs are climbing, inefficiencies are baked into processes and risk is quietly compounding. Still, without a solid business case, even the clearest opportunity can be ignored.
This practical guide from BIQH demonstrates how to translate operational frustration into strategic action. You’ll learn how to build a structured, stakeholder-ready case that doesn’t just make sense on paper but wins real-world approval.
Readers will learn to:
- Clearly define the business problem: use evidence to create urgency
- Explore and compare solution paths: including do-nothing, tactical and strategic options
- Structure a compelling case: using the eight essential components decision-makers expect
- Present financials with credibility: from return on investment to total cost of ownership and indirect benefits
- Adapt messaging: align with the priorities of finance, compliance, IT and business teams
- Avoid common pitfalls, such as vague problem statements or unrealistic savings
- Secure buy-in by focusing on results, not just tools.
Ready to move beyond vague intentions and get your market data strategy funded? Start here.
Download the whitepaper
Register for free access to hundreds of resources. Already registered? Sign in here.
More related resources
Unleashing the power of data and technology in an age of digital transformation
How Bloomberg sees digital transformation and the strategies it employs to solve data and technology pain points for its clients.
Client success story: Münchener Hypothekenbank—NeoXam DataHub
In recent years Münchener Hypothekenbank has been faced with increasing and tightening regulatory parameters and obligations within its business activity.
Data distribution: NeoXam DataHub
NeoXam DataHub automates the data management process, enabling easy integration and distribution.
Optimizing performance and risk calculations: The critical role of data quality
Calculating performance indicators or risk metrics is a critical task for financial institutions. While many focus solely on calculation methods, the real challenge often lies elsewhere.
CP+ unveiled: Accurate, real-time pricing for global credit and rates markets
Bond markets lack transparency, making it difficult for investors to value bonds and compare prices. This can lead to overpaying or missed opportunities.
