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Ian Yates

ian-yatees.jpgIan believes curiosity is key to driving improvement.  Frustrated by the complexity surrounding data analytics in the corporate organisations he led, Ian formed Barcanet to help finance leaders make simple data-driven decisions and improve their individual and business performance. 

Author's Articles

Increase Revenue by 8%, Reduce Costs by 10% Using Analytics
September 22, 2017
FP&A Tags:
Financial Planning and Analysis, FP&A Analytics, Profitability Analysis

It goes without saying that every successful business needs to be in full control of their finances - both income and expenses. To thrive in the current economic climate, businesses must make effective use of all the data their business produces.

Read more
FP&A Data Quality: 5 Signs you Need Better Data Preparation
September 19, 2017
FP&A Tags:
Data-Driven FP&A, Financial Planning and Analysis

Business users want the power of analytics – but analytics can only be as good as the data being analysed. A survey by TDWI has revealed best practices to improve data preparation, finding 76% of businesses hope to increase data-driven decision making and 37% are currently unequipped to do so. 

Read more
A Good Sketch is Better Than a Long Speech – 5 Benefits of Data Visualisation Tools
September 19, 2017
FP&A Tags:
Financial Planning and Analysis, Data Visualisation, FP&A Storytelling

“A good sketch is better than a long speech…” a quote often attributed to Napoleon Bonaparte. Companies are collecting, organising, storing, and analysing data from hundreds of sources, and the volume is increasing exponentially. But this data is only relevant if it can be used to drive outcomes and make timely business decisions. So it is essential to you can understand and evaluate the data quickly, and this is where data visualisation comes in.

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Address the 6 Key Challenges in Creating Value from Your Data
September 19, 2017
FP&A Tags:
Financial Planning and Analysis, Data-Driven FP&A

To create value from data, you do need a big data strategy – right? Well, actually, probably not.  According to Gartner, the ‘all-encompassing data strategy’ fails around 60% of the time.  In fact, Gartner have even stopped publishing a Big Data ‘Hype Cycle’ (their measure of maturity and adoption of technologies).

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