Business Analytics Adoption Part 4: The Cloud and Big Data

[CharlieTriangle]

We have come a long way on our journey covered in my previous blogs posts, looking at the early steps on the journey to business analytics adoption where companies take their first tentative steps and the role the data warehouse plays in this. My previous blog post looked at Sweating our existing Assets, Financial Performance Planning and Predictive Analysis. Below I look at the growing effect of internet technologies and some of the challenges facing our customers as they continue on their journey.

The Cloud
From the advent of the world wide web the industry has been moving towards a world of data in the cloud. Hardware and networking infrastructures have developed to allow user to store data in data centres on the other side of the planet and access that data instantly through the internet. Suddenly the need to maintain your own "on premise" servers has become less appealing, and the lure of servers in the cloud, maintained by professional engineers, secured in massive data centres behind high security has become a reality. We have seen applications like email, HR systems and CRM systems adopting cloud technologies. These systems can be considered the low hanging fruit and normally require smaller amounts of data being moved from line of business systems to the cloud.

To continue reading: https://triangleinformationmanagement.com/business-analytics-cloud-big-data/

[cognostechie]

Suddenly the need to maintain your own "on premise" servers has become less appealing, and the lure of servers in the cloud, maintained by professional engineers, secured in massive data centres behind high security has become a reality.

Apart from maintaining your own "on premise" servers, it is the resources which one has to maintain costs more, not just in terms of compensation but the mess they create resulting in failure of projects and re-starting another project repeatedly till they run out of money. Adopting a cloud solution is free for most companies because what they pay for the new cloud solution is less than what they save by letting their IT people go by getting rid of on-premise solutions.