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SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

BI dashboards and why should we choose them!

Irrespective of the business sphere one belongs, it is necessary to keep a business intelligence dashboard which increases the ability to correctly monitor data and also helps in decision making. Four major reasons why BI dashboard is to be maintained can be listed as follows: • Increased consumability as a result of keeping track of the collected data and information and converting them to analytic charts and tables.
• Data sometimes gets useless within a period of time and an up-to-date BI dashboard helps avoiding this problem.
• Moving towards one goal is necessary,  even if the system is departmentalized, BI gives a bigger picture to move towards that goal
• Finally, a BI dashboard gives the accurate results and also makes it quicker. Read more at: http://www.plasmacomp.com/blogs/4-reasons-to-implement-bi-dashboard-into-your-business%20
 
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Pyze, The Saviour!

Pyze, The Saviour!

Although smartphones have helped up to engage with various brands, a gap still remained between the top and bottom app publishers. Pyze, a business intelligence platform have seem to bridge this gap. The most important reason why small app publishers seems to lag behind is because of lack of intelligence. It is here where Pyze comes in to provide a Growth Intelligence Platform for the small app publishers. Read more at: http://smallbiztrends.com/2016/07/pyze-mobile-analytics.html

 

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Not Just Data

Although most modern enterprises run on data, it becomes useless if we cannot derive intelligence from it. Data includes all the information that is available including raw facts about companies and individuals. Intelligence is when we look at the data and try to find a relation to better interpret challenges and opportunities in the market. Insight with data and intelligence deals in adjusting strategies in response to the market. To develop predictive models about the market, we need intelligence and insight alongside data. Raw data is often mistaken for insights. For smarter decisions, internal and external data sets should be used as starting points and then create intelligence to draw sensible insights. To know more:  http://www.smartdatacollective.com/ray-renteria/327508/data-does-not-equal-intelligence-predictive-analytics-enterprise

 

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