KPI Analytics, for greater performance insights.

Analysing those peaks and troughs

Tracking KPIs enables you to make informed management decisions and monitor performance. But when those unexplained peaks and troughs appear in your KPI graphs, its crucial to have the ability to quickly and efficiently investigate what's going on behind the scenes.

SimpleKPI incorporates a powerful, yet simple to use KPI analytics tool. Quickly distinguish the most important information from the background noise, and discover the real meanings behind the ups and downs.

Monitor showing KPIs being analysed using SimpleKPI
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Greater insights from your KPIs

Performance monitoring doesn't stop at a KPI Dashboard or Report. Using the metrics and data intelligently can elevate your business to a whole new level.

A line graph analysing a KPI within SimpleKPI

Insights are gained by using analytics. They allow you to have a deeper understanding of your business, customers, staff and processes. Meaningful insights can also uncover opportunities that would otherwise have gone undiscovered. Conversely, they can highlight areas of a process or performance that could avert disaster.

Having the right tools to make informed decisions provides a clear competitive advantage, and helps propel a business forward.

KPI Analytics features at a glance

SimpleKPI's analytics tool comes complete with an array of features to get you to the right information, fast.

Interface showing custom KPI date periods being selected

Customized analysis reports

Choose from a variety of standard and custom date periods and set comparison intervals.

Saving a KPI revenue analysis

Save and share

Communicate your insights and analysis findings with colleagues and clients. Export to Excel or PDFs.

Table showing a KPI missing target

Investigate and discover

Interrogate the data behind your metrics and KPIs across the entire organisation from a single place. Quickly identify and access the data behind your charts and graphs.

KPI chart showing breakdown of advertising leads

Break down top level KPIs

See who, how and when data was entered. Filter your results across groups such as countries and business units down to the individuals.

Two KPIs being compared on a graph

Compare various KPIs

Highlight the relationship between KPIs. What is the impact of higher values against another KPI? Discover the truth behind the data.

How to analyse KPIs and Metrics

Analysing swathes of data can be a daunting task. SimpleKPI helps highlight areas for analysis and provides the tools to proactively investigate your KPIs. Analysing KPIs falls into two categories:

  1. Re-active
    If KPIs are designed and visualised correctly they provide triggers for further analysis, such as a spike in the data, an unexpected trend, not hitting a target or even over performance. Any of these visual triggers will prompt re-active analysis of the historical data to confirm the cause.
  2. Pro-active
    Pro-active analysis involves investigating the metrics and data behind KPIs operating within normal parameters to:
    • Identify and resolve any underlying problems.
    • Provides insights to improve processes.
    • Uncover opportunities or weaknesses within the business.

Advanced KPI Analytics

Data is everywhere. From your smartphone to nearly any business process and it's generated in ever increasing numbers. Convenient access to this real-time business data isn't just a 'nice to have', it's now vital in providing organisations with a clear competitive advantage.

Companies are constantly looking to innovate and improve how they use their data to leverage this advantage, increase market share and grow revenues. In this face paced world of big data, it's not enough to simply monitor and measure KPIs. To truly benefit from your KPI endeavours you need to turn to advanced, modern KPI Analytics.

KPI Analytics best practise

When confronted with such an abundance of data, where do you get started? It's tempting to dive straight in, but to avoid common pitfalls it's worth learning some Key fundamentals. So, here's 5 pointers to get you started.

  1. Ensure your data is up-to-date and error free. Nothing will guarantee your barking up the wrong tree, or worse that you could come to an entirely opposite conclusion from what the data should be telling you. Check data and accuracy on a regular basis.
  2. Don't analyse in isolation. Just as most businesses have a symbiont relationship between departments, so do KPIs. Looking at a KPI in blinkers can give a distorting representation of the truth. For example, sales performance dips may be due to a reduction in marketing budget and not an individual's performance.
  3. Quality not Quantity. With a near endless supply of data and metrics, it can be difficult to decide what to analyse. Set parameters for analysis triggers, if a KPI or Metric falls outside of these acceptable parameters then it's time to investigate.
  4. Analyse without prejudice. It's only human nature to use analysis to prove a personal theory or opinion. However difficult it can be, use data to provide information that warrants investigation and explore that data with a broad and open mind.
  5. Never analyse with a spreadsheet. Interfering with underlying formulas, missing data handling and ultimately 'it was never intended to be an analysis tool', are just a few reasons to avoid using spreadsheets to analyse data. They are a great tool for raw data management, but fall way short in terms of the functions needed to efficiently and accurately analyse your KPIs.