View all newsletters
Receive our newsletter - data, insights and analysis delivered to you
  1. Technology
  2. Data
September 15, 2015

Culture change key to stopping 60% Big Data failure rate

Businesses need to identify quick wins and get stakeholders on-side.

By James Nunns

Getting starting with analytics isn’t just about getting the right tools in place – a change of mindset is also needed, according to Gartner.

If changes are made then success with Big Data projects could be reduced. The research firm predicts that 60% of Big Data projects through 2017 will fail to go beyond piloting and experimentation, and will be abandoned.

The firm has identified four best practices that leaders in BI and analytics can use in order to get analytics initiatives off the ground.

First of all it is necessary to choose a business problem that offers an initial win. This means that they need to work with business leaders in order to identify problems to tackle.

The outcomes of this should be reviewed to identify the decisions that could provide either the biggest impact or the quickest payback.

Secondly, the firm advises to use outsourcing and to buy packaged apps when you are lacking in advanced analytics expertise. Building advanced analytics capabilities yourself can be a slow process, so outsourcing can lead to quicker wins.

The third idea that is advised is to identify the stakeholders in your organisation that need to be convinced of the value of advanced analytics. It is necessary to have a business case that demonstrates the value of the project.

Content from our partners
How to turn the evidence hackers leave behind against them
Why food manufacturers must pursue greater visibility and agility
How to define an empowered chief data officer

Having the stakeholders’ on-side can be difficult to achieve, however, it is necessary to get their support as they can derail a project.

The fourth and final suggestion is to decide whether you want to build the skills and tools internally. The firm say’s that businesses that achieve best-in-class advanced analytics solutions typically do some through a build strategy.

Building these skills and tools internally though isn’t often the best way to start. Gartner, says: "It makes sense for an organisation to build advanced analytics internally if (a) analytics is a critical differentiator in its industry or if the area is of strategic importance.

"(b) A high level of agility and granularity of control is required, and (c) there are many opportunities across the organisation to apply analytics in multiple use cases or lines of business."

Those that do decide to build must have core business skills, IT skills and data science and quantitative skills.

Websites in our network
Select and enter your corporate email address Tech Monitor's research, insight and analysis examines the frontiers of digital transformation to help tech leaders navigate the future. Our Changelog newsletter delivers our best work to your inbox every week.
  • CIO
  • CTO
  • CISO
  • CSO
  • CFO
  • CDO
  • CEO
  • Architect Founder
  • MD
  • Director
  • Manager
  • Other
Visit our privacy policy for more information about our services, how New Statesman Media Group may use, process and share your personal data, including information on your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address.
THANK YOU