“Those who triumph, compute at their headquarters, a great number of factors, prior to a challenge. Those who are defeated, compute at their headquarters, a small number of factors, prior to a challenge. Much computation brings triumph, little computation brings defeat. How much more so with no computation at all. By observing only this, I can see triumph or defeat”. Sun Tzu (544-496BC)
Globalisation has driven the need to run business more efficiently. The culture of management by gut instinct is no longer good enough as the basis for operational business decisions. Businesses are relying more on data reports for decision making. Enterprises are using data and KPI reporting to manage the performance of the organisation and to make informed business decisions. They have invested heavily in data-warehouses, CRM, ERP and Business Intelligence, all of which pump valuable information to the screens across the organisation. These investments are under-pinning cost competitiveness, efficiency and automation. However, many managers complain of information overload and struggle with the challenge of using these multiple information systems most effectively to gain business value. The key Business Intelligence challenge has shifted from tapping into the underlying data to interpreting and acting upon the information.
While enterprises grapple with this growth in information, the world of the consumer has already evolved an effective solution to tackling the problem of dealing with vast amounts of discrete tasks. Modern consumers are armed with iPads and Smartphones. Many individuals run their virtual life from a screen that fits in their hand.
So with so much invested in existing systems, where should Enterprises turn to achieve the next level of higher efficiency and competitive edge? Having witnessed the power that can be unleashed across the organisation by distilling vast amounts of data down into an easy to interpret view, I believe that Advanced Visualisation is a simple but powerful tool that makes a real business difference across the organisation.
So what is Data Visualisation?
According to Wikipedia - Data visualization is the study of the visual representation of data, meaning "information which has been abstracted in some schematic form, including attributes or variables for the units of information".
So why Visualisation?
I have a visual sensory preference that means basically I love pictures. But it appears that I'm not that unusual. According to a recent research sponsored by HP, Verbal + Visual Information Retained is as follows:
Studies show that people remember:
- 10% of what they hear
- 20% of what they read
- 80% of what they see and do
So if information is displayed in a manner that the user interacts, they will digest it faster and retain the learning for longer. This really matters for the modern Enterprise as they try to increase productivity and delegate decision making.
According to the Register (http://www.theregister.co.uk/2011/02/21/visualisation_say_with_pictures/)
Research confirms that visualisation tools aid learning and communication. For example, a 2009 study by Bresciani and Eppler compared groups discussing business strategy using visual collaboration tools with control groups using handwritten bullet point lists on flipcharts.
The study found that visualisation software fosters knowledge sharing, improves productivity, fosters more ideas, creates better ones and increases recall. But there was no perceived benefit to people in any of the groups using visuals. This suggests that such tools are not seen by most as giving better results even when they do – a worrying finding for any vendor.
Dr Richard Picking of the School of Computing and Communications Technology at Glyndwr University says the aims of visualisation tools fall into three categories: number crunching, visualisation of real world elements, for example an operating theatre, and decision making
So how can this be put into real action?
The Telecoms vertical has been at the forefront of using Visualisation tools since the early days of mobile and for good reason. With over 5 billion mobile subscribers using real-time services over a distributed global network, the Telecoms vertical has been pushed into becoming a leading vertical in solving these challenges of running global enterprise and reporting. DANU have been active in the Business Intelligence area for over a decade and have grown up in the Telecoms vertical.
Therefore we recommend that to have a BI visualisation strategy with value that can be measured and quantified, the 5 most important steps to be taken in order are:
1) Good Data - Ensure that the data supporting key KPI’s can be mapped and audited
2) Timely - Ensure that the data is collected and processed in a timely fashion
3) Continuous Evolution - Ensure that as the business changes the KPI’s keep pace
4) Wikipedia effect - Ensure that the BI strategy is mapped across all stakeholder groups this allows the organisation to tap into the wisdom of the crowds and that this is a 2-way read/write process. Everybody must input and read from a single source of truth.
5) Visually intuitive - That the presentation (or visualization) for each stakeholder, be this via Smart Device, an interactive Google map based system or some classic trending lines is fit for purpose.
There are many companies and good examples out there so be sure to research on the latest best practice before you end up importing CSV files to Excel to generate "pretty Bar charts". Get creative here, look at Gaming, Google maps and App stores.
Once this is in-place Enterprises can really reach what Gartner describe as Level 5 where BI is Pervasive, "At this level, BI & PM are pervasive across the business and across the entire corporate culture. Users at multiple levels within the company have access to the information and analysis needed to drive business value and impact".