Actionalable Analytics

Actionable Analytics

Actionable Analytics are set of analytics which are used by managers or operational staff to help them execute daily operations in real time. It is integrated in one of the many usage journeys of operational staff. If for example a Sales Agent is has access to pricing information which itself can be computed in real time based on analytics combining data on profitability, age of product and logistics bandwidth; this can be then integrated into the agents workspace of operation. A manager with better visibility to resource availability can allocate resources more appropriately. Most CxOs realise the importance of analytics and want their managers to use analytics in decision making, but few have succeeded.

Infi Analytics

INFI UK has deep experience and experience of working in Analytics field. One of the company problem with Analytics implementation has been data quality in terms of reliability. This generally means, even when analytical solutions are done, there is lag between decision based on analytics and availability of data. This also means there lack of user adoption of the analytics. If the analytics are to be used in real time and is to be integrated by operational users, the accuracy of data is acutely important. INFI has decades of cleansing and integrating data in a very wide functional and process areas of enterprise has provided INFI with unique ability to not just create functionally usable analytics, but also confidence for decision making. Our consultants understand, intricately, data used in analytics. We understand data as it is captured, stored, transferred via ETL into information factories, its business context, its structure as it relates to business context. When we build Analytics solution, we can therefore explain exactly what a data element means it the context of its use and this also allows us to build a very reliable actionable analytics solutions.



Insights & Analytics,
Infi Uk Ltd,
105 Holmwood Road,
Cheam, SM2 7JS
Ph + 44 0203 129 128 5