Advanced analytics

Advanced analytics is facing several challenges among which the top three shall be discussed. The three sensitive challenges include difficulty in finding use cases for the upcoming companies, finding data scientists and the issue of evangelizing so that organizations can adopt the advanced analytical and become data-driven (Linden, 2014).

The issue of finding cases is really sensitive because even the other issues are dependent on it. It can be so hectic for companies to start analysis from scratch without a template or a case from which they can learn from (Linden, 2014).

The problem is associated with poor communication by the webinars. The company is also poor in finding the right teams of designing these cases for them to be available. The poor networking capabilities of the company have also caused the difficulty of finding cases (Linden, 2014).

The challenge of conducting evangelism in making organizations to be data driven has also been a challenge. Evangelism can best be done in seminars and through the network systems which have been not well perfected.

Other communication networks are also not well utilized hence becoming a hindrance to thee evangelism. The company needs to address the issue of proper communication because it has a significant impact on the progress of having a data driven organization.

Finding data scientists has also be a great challenge because making data analysis requires expertise knowledge. Hiring them is effective though it comes at a high cost. The companies have an option of training their own which will be very effective (Linden, 2014).

Lack of data scientists may slow down the development because they have all it takes to advance the course. Nowadays we are living in an age that is driven by which is very essential in making a positive progress to reach analytical maturity.

Reference

Linden A., (2014) Key Trends in Advanced Analytics