Every business generates data – but for many organisations, business data analytics is the missing piece between having information and actually using it. Whether it’s sales figures, customer records, financial reports, operational metrics, website activity, stock levels or more, the problem is rarely a lack of data. The problem is knowing what it’s telling you.
For many organisations, important information is spread across spreadsheets, databases, business applications and third-party platforms. Reports are built manually, numbers are reconciled by hand, and decisions sometimes rest on what feels right rather than what the data actually shows.
Better business data analytics doesn’t necessarily mean buying another dashboard or implementing a complicated data platform. It starts with being able to answer the questions that matter to your business. Here are five signs your organisation might need a better approach.
1. You spend too much time producing reports
One of the clearest warning signs is the amount of time people spend preparing information rather than using it. If someone in your organisation regularly spends hours exporting data from different systems, cleaning spreadsheets, copying figures between files and formatting reports, you probably have an analytics problem.
The issue isn’t the spreadsheet itself – spreadsheets are useful tools and have their place. The problem is when a spreadsheet becomes the process.
UK SMEs spend an average of 120 working hours a year on administrative tasks, with 5.6% of staff time typically lost to back-office work that better systems could handle. Read more at smallbusiness.co.uk.
A good analytics solution reduces the manual work required to turn raw information into something useful. Data can be extracted from the relevant systems, transformed into a consistent format, and presented in a way that makes sense to the people using it – so your team spends less time preparing yesterday’s numbers and more time deciding what to do about them.
2. Different departments have different versions of the truth
Ask two people in your organisation a simple question, such as “How many customers do we have?” If you get two different answers, you have a data problem – and it’s surprisingly common.
Sales may have one spreadsheet. Finance may have another. Your CRM contains a third number, while someone has a report they produced last month that doesn’t quite match any of them. None of these people are necessarily doing anything wrong. The underlying issue is that your organisation doesn’t have a consistent source of reliable information.
Data integration can bring information from different systems together to provide a single view of the numbers that matter. That doesn’t necessarily mean replacing your existing systems – in many cases, it means connecting them properly.
3. You have plenty of data but struggle to answer simple questions
Having data isn’t the same as having useful information. You might have years of sales transactions but still struggle to answer:
- Which products are actually profitable?
- Which customers are becoming less valuable?
- Where are we losing time?
- Which services generate the highest margin?
- What’s driving changes in demand?
- Where are operational costs increasing?
If answering questions like these requires someone to spend half a day working through spreadsheets, your data isn’t working hard enough for you.
Good business data analytics starts with the business question. Once you know what you’re trying to understand, you can determine what data is required, where it exists, and how it should be processed. The objective isn’t to collect more data – it’s to make better decisions with the data you already have.
4. You’re making important decisions based on incomplete information
Business decisions will always involve some degree of judgement. Data doesn’t remove that judgement – it gives you better information to base it on.
If you’re deciding whether to recruit, expand into a new market, increase stock, change pricing or invest in a particular service, you should ideally be able to see the evidence behind the decision. When information is difficult to access, decisions tend to rely more heavily on assumptions – and sometimes those assumptions won’t hold up.
Gartner research estimates that poor data quality costs organisations an average of $12.9 million per year — and that’s before accounting for the cost of decisions made on incomplete or inaccurate information. For UK SMEs the scale is smaller, but the principle is the same: decisions made without reliable data carry a hidden cost that rarely appears on any invoice. Read more at Integrate.io, which compiles the key research in one place.
A properly designed analytics capability gives decision-makers access to relevant, timely information without requiring them to become data specialists themselves. That might be a dashboard for your management team, a regular automated report, or simply a reliable dataset your existing systems can use. The technology should support the decision – not become the project.
5. You have dashboards, but nobody trusts them
This is perhaps the most interesting warning sign. You may already have business intelligence tools and attractive dashboards, but if people don’t trust the numbers, they aren’t particularly useful.
A dashboard can look impressive while being based on incomplete, inconsistent or poorly understood data. Common problems include:
- Different definitions of the same metric
- Data being updated at different times
- Duplicate records
- Missing information
- Undocumented manual adjustments
- Reports built on different underlying datasets
The answer isn’t necessarily another dashboard – it’s usually better data underneath the one you already have. That means understanding where your data comes from, how it’s transformed, where it’s stored, and how it’s ultimately presented.
Better Business Data Analytics Starts With Better Questions
Data analytics doesn’t need to mean a huge transformation project. For some organisations, the right answer might be a single automated report that replaces a manual spreadsheet process. For others, it may mean connecting several systems, building a central data repository, and developing a more comprehensive business intelligence capability. The important thing is to start with the business problem.
Every business has data – the organisations that get the most value from it invest in business data analytics that starts with the right questions. If you’re spending more time managing your data than using it, it may be time to take a closer look.
Business Data Analytics from Base3
Base3 works across the full analytics pipeline – from data extraction and transformation through to loading, analysis and presentation. We can support a specific part of the process or help build an end-to-end data analytics capability tailored to your business.
If you’d like to talk through what better data analytics could look like for your organisation, get in touch for a no-obligation conversation.