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Analytics for energy sector

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Analytics for Energy Sector

Analytics will give an edge to any business. When data is gathered methodologically and stored properly it gives you the insight you need through analytics.

One set of date is hardly ever enough. Luckily in modern business environment there is plenty of sources to choose. We can combine any business critical data source for further analysis.

Shifting your business to data driven business doesn’t necessarily require vast investments  at the beginning. We have noticed that organisations need to start small. Find something that will give great benefit to small team. Usually benefits gained from these improvements can be leveraged throughout the company.

Start small, but aim high

Sometimes analytics needs data sources not that easily available. In those cases you need to think is such level of detail or granularity really needed.

Shifting your business to data driven business doesn’t necessarily require vast investments  at the beginning. We have noticed that organisations need to start small. Find something that will give great benefit to small team. Usually benefits gained from these improvements can be leveraged throughout the company.

Technologies

We can implement on all leading cloud technologies. Azure and Amazon Web Services are widely used in our customer projects. Our data modelling products will ensure quick adoption and short execution of data analytics in your business. We can visualize your data and analysis to real time dashboards using technology best suited to your needs. Our world class personnel has visualized data using  Qlik (both Qlik View and Qlik Sense), Tableau and Power BI over several years.

Here are few application areas our customers have benefited:

  • Need to analyse ahead how purchases fill and deliverers diminishing stock. We analysed which are the most advantageous order points to keep optimal stock level.
  • Need to forecast purchasing activities based on production volumes. We analysed optimal purchasing order points for mass market product. This involved developing very accurate production forecast based on demand.
  • Need to improve business visibility through improved analytics. We gathered requirements from customer. Based on these requirements limited set of key performance indicators best describing busies goals were drawn with customer. We ensured high data accuracy and quality by overseeing the implementation closely. Our customer was able to be truly data driven company after this change.

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