Nano Blue: Big Data for the Little Guys!

The business world is buzzing with the promise of big data and analytics.  
Big promises of Big profits.  Requiring Big investments.  Using Big implementation teams.  From the Big consulting firms.  With Big vendor software.

What if you could take a different path?  Methodically building profits.  
Making smart investments.  Using your own people.  Keeping Knowledge In-house.  
With Adaptable, Accessible software. 

Click here to have a Small conversation about Big Data.

In the meantime...

Nano Blue: What Do We Do?

 
 
 Which Target should you aim for?

Which Target should you aim for?

Metrics, Prioritised: 
Measure the right things

Sometimes people have so many goals and metrics, they don't know what they are really aiming to achieve.  By prioritising your metrics, you can ensure you and your team are aiming to achieve the most important goals, your Key Performance Indicators.

Click here to arrange a review of your current metrics and get help in determining which metrics will best help you achieve your goals.


Data, Organised: 
MAKE ALL DATA AVAILABLE & EASY-TO-UNDERSTAND

Your data will likely come from a multitude of sources.  Some data will come from corporate databases like MS SQL Server or Oracle, some from OLAP cubes like SAP BW or MSAS, or you may even have NoSQL databases like MongoDB or files such as CSV, Excel or Google Spreadsheets.  Easily consolidate you data to create a data warehouse, or leave it in-place with a data lake.  Either way, once you have mapped and acquired your data, you have e a single version of the data for analytics. 

 Can you see your changing data in a single view?

Can you see your changing data in a single view?


 Are analysts creating information bottlenecks?

Are analysts creating information bottlenecks?

INFORMATION, DELIVERED:
make insights automated for real-time decisions

Too many decisions are made without the support of the underlying data, as the information is too slow to arrive.  KPI dashboards with direct access to live data provides easy-to-understand information to decision makers at the time they most need it.  If an Analyst needs to provide a data insight more than twice, it should be automated and available real-time to the desktop computer, mobile device or printer of your choosing.