Better decisions start with better data

Every organisation relies on data. The question is whether people trust it. If different teams are working from different information, reports don’t match, or important decisions are being made on incomplete data, it becomes much harder to move the organisation forward with confidence.

A good data strategy isn’t about collecting more information.

It’s about making sure the right people have the right information at the right time.

Our point of view

Data should help people do their jobs, not create more work

Most organisations don’t struggle because they lack data. They struggle because they have too much of it, stored in too many places, with nobody completely sure which version is correct.

Over time, people find workarounds. They export spreadsheets. They create their own reports. They keep separate databases. Before long, the organisation has stopped working from one version of the truth.

It’s nobody’s fault, and it usually happens gradually. But once confidence in the data starts to disappear, confidence in the systems often follows.

Common starting points

Why organisations
review their data strategy

Sometimes the signs are obvious. Sometimes they’re much quieter.

01

Reports take days to prepare, and teams spend more time checking numbers than discussing what they mean.

02

Customer information is duplicated across multiple systems, with the same details entered several times.

03

A fundraising team doesn’t quite trust campaign reporting, so it keeps its own version.

04

Finance keeps separate spreadsheets, and operations can’t see what sales is doing.
None of these problems start with bad technology. They start with disconnected information.

Scope

What does a data strategy actually cover?

Every organisation is different, but the conversations often explore questions such as these.

By answering those questions first, it becomes much easier to decide what needs to change.

How we work

Our approach

We follow the information

We start by understanding how information moves through your organisation today. Where is data created? Who updates it? How does it move between systems?

We find where trust breaks down

Where does information become inconsistent, and where do people quietly lose confidence in it? Only once we understand those answers do we begin recommending changes.

We recommend what fits

Sometimes it’s improving the way Salesforce is configured. Sometimes it’s connecting systems that have never properly shared information. Sometimes it’s clearer governance.

Whatever the recommendation, it needs to make life easier for the people using it every day.

Deliverables

Good data supports better conversations

When people trust the information they’re working with, meetings change. Less time is spent questioning the numbers, and more time is spent discussing what to do next.

Sales teams become more confident in their pipeline. Finance teams gain greater visibility. Leadership teams can make decisions knowing they’re working from reliable information.
Why us

Why Sweet Potato Tec?

We’ve worked with organisations where data was spread across multiple platforms, departments and teams. We’ve also seen what happens when those barriers are removed.

Salesforce becomes more valuable. Reporting becomes more meaningful. Teams work together more effectively. Most importantly, organisations gain confidence in the decisions they’re making.

That’s why we see data strategy as a business conversation first and a technical conversation second.

Related  customer  story

CyberRisk Alliance

As CyberRisk Alliance grew, information was being managed across multiple departments and platforms.

By helping create a connected Salesforce ecosystem, Sweet Potato Tec enabled teams to work from shared information, improving visibility across sales, marketing, finance and operations.

Good to know

Frequently asked questions

A data strategy sets out how your organisation collects, manages, shares and uses information to support better decision making. It helps ensure that people are working from accurate, trusted data rather than disconnected sources.
No. Salesforce often sits at the centre of the conversation, but a data strategy looks across your wider technology landscape. That includes the other systems your organisation relies on and how information flows between them.
Yes. Many organisations operate with multiple business systems. One of the aims of a data strategy is to understand how those systems can work together more effectively while reducing duplication and improving reporting.
Not necessarily. Quite often the best solution is to improve how existing systems work together rather than replacing them altogether.
AI depends on good-quality data. If information is inconsistent, duplicated or incomplete, AI tools are far less likely to produce reliable results. A strong data strategy creates the foundations that make future AI initiatives much more successful.

Let's start with the data you already have

You probably don’t need more reports. You need more confidence in the information behind them.

If you’d like to understand how your data could better support your organisation, we’d be happy to have an initial conversation.