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Death of the traditional Data Warehouse

Guest article by Steven Offen

I have recently been on training for a new federated data platform solution called fraXses. The promise was that the solution could consolidate data from any data source without any ETL development simply by using a configuration GUI. These solutions have been spoken about for many years but this is the first I have seen, that […]

By |May 20th, 2016|Data, Data Ingestion|

Rich Data, Poor Data

…What the Data Rich Do – That the Data Poor and the Data Middle Class Do Not!

Guest Article by By Shelly Palmer, President & CEO of Palmer Advanced Media
Generally speaking, there are two kinds of companies in the world: data rich and data poor. The richest of the data rich are easy to name: Google, Facebook, Amazon, Apple. But you don’t need […]

By |April 20th, 2016|Algorithms, Analytics, Data, Machine Learning|

Components of a Modern Analytics Platform

Guest article by Martin Rennhackkamp

In order to cater for the demands of a modern data-centric and analytics-driven organisation, one needs a more extensive ecosystem for analytics than what a traditional simple “data source – ETL – data warehouse – dashboard” environment can cater for.  This is especially relevant considering the more complex data types and structures and the more dynamic data […]

By |March 20th, 2016|Analytics, Data|

Halting decline in Student retention

Challenge

The University is operating in a competitive regional market where the deregulation of fees coupled with increasing competition for traditional regional markets, is presenting the challenge of increasing student enrolments and halting the decline in student retention.

The University Management put in place a number of initiatives but has been frustrated by an inability to measure and predict the effectiveness of these using available […]

By |February 20th, 2016|Data, Education, Social Media|

Maximise player engagement & satisfaction

Challenge:

In a multi-room, multi-game environment what are all your players doing right now?  With 500,000+ players, in multi-room, multi-game environments spread across the globe…   The challenge is to intervene with individual players to reduce churn and improve conversion.  Creating a “player journey” to track each player and identify the most appropriate intervention points in real-time.

Solution:

Using a mixture of data relationship discovery, data analysis, pattern […]

By |January 20th, 2016|Algorithms, Analytics, Data, Gaming, Pattern Recognition|

Liquidity Risk Management

Challenge:
Volumes of data are increasing rapidly due to cash flow orientation and banks are struggling to perform finance and risk management in real time.  This is especially acute for liquidity risk management where the current spread sheet applications perform slowly due to the massive amounts of data.  Compliance with new liquidity rules under Basel III is a must and especially […]

By |December 20th, 2015|Data, Financial Markets|

Faster retail analytics

Challenge

Help a Large fashion retailer that was taking 36hrs to process 2 years of ePoS data (8 Billion records) within the traditional business intelligence system. (Microstrategy & Oracle). Merchandising team required predictive analytics and better performance to enable calculations on sales data to enable stock to be in the correct stores for the following week. (Calculations would include last week’s […]

By |November 20th, 2015|Analytics, Data, Retail|

Maximising revenue by keeping planes off the ground

Challenge:

Airlines need to identify the ideal times to fly to maximise demand, match capacity to demand and meet all operational requirements.  While at the same time establishing how to design their flight schedule in such a way as to maximise revenue.  With an almost infinite number of possible combinations, this process is inefficient and leads to higher costs and […]

By |October 20th, 2015|Algorithms, Data, Machine Learning, Pattern Recognition|

Optimising sales pipelines

Problem:

Without a doubt, the current environment is extremely challenging for sales teams in every industry and region.  Enabling them to react quickly to changing sales conditions could literally mean the difference between overachieving the quota or failure.

Knowing exactly what is happening in your sales pipeline and being able to respond quickly to changes as they appear is critical for every business. […]

By |September 20th, 2015|Analytics, Data|

Visualisation libraries

Enterprises are beginning to realise the important role “big data” plays in achieving business goals. Concepts that used to be difficult for companies to comprehend— factors that influence a customer to make a purchase, behaviour patterns that point to fraud or misuse, inefficiencies slowing down business processes—now can be understood and addressed by collecting and analysing big data.  The insight gained […]

By |July 20th, 2015|Analytics, Data|