Upload date: 11 December 2017
Data is playing a larger role within in our competitive environment, day-to-day business conversations and decision making. As we introduce self-service analytics into organisations, the ability to communicate with data is a necessity across the value chain from business leaders to frontline employees.
With increasing amounts of data at our disposal, users spend a lot of time putting together reports. Often these are reports that no one uses. One hypothesis is that the reports are not used because the data is not presented in an engaging format.
Neuroscience has taught us that without a storyline, data is hard to retain and lacks context. A PowerPoint presentation with bullet points activates the Broca’s area and Wernicke’s area, the part of our brain which processes language and decodes words into meaning. The audience doesn’t understand why the data is important and does not drive people to action.
Why we should use interactive storytelling with our data:
Data can be compelling, but without a story to frame it, we are not engaged. Having tools like Qlik Sense and Qlik View will enable exploration and analysis of data. Through leveraging our understanding of how the brain works we can use this data to engage the audience, change attitudes, beliefs and ultimately shift behaviours and inspire action. Interactive storytelling is a compelling way to present data and close the gap between data and action. It is a technique that any business user can easily apply and learn to use effectively.
Stories are memorable – Numbers in a spreadsheet are not engaging. A story will make your data digestible, contextual, and memorable
Stories are persuasive – Neuroscience has shown that decision making is enabled when we connect the audience to data on an emotional level. This creates buy-in and support, enables collaboration, and ultimately facilitates decision-making and action.
A good story will challenge limiting beliefs and change assumptions – to inspire different behaviour and actions.
Where do I begin with Interactive storytelling?
Always start with the data, then build your story around it. Using data to tell a story requires exploration, analysis and persuasion.
How do we use neuroscience to craft interactive stories that drive results?
Know your audience and understand their needs. Understand their burning platform, needs and challenges. Only once you have rolled up your sleeves, explored and analysed the audience’s data sets within the context of their needs, can you begin crafting a story that will engage them and shift their actions.
Consider a structure to take your audience on a journey. Effective interactive data storytelling is like storytelling generally. Stories have a beginning, middle and end. The data story should include a thesis (or a hypothesis), supporting facts (data), a logical structure, and a compelling narrative. The purpose of data is to answer questions and spark curiosity. Provoke the audience at the beginning of the presentation within the context of their needs, paint a picture of the future, relate a story to the past, help them see the opportunities and how to resolve the problems. Take them on a journey where they can follow along with the story, accepting each data point along the way so that when you get to the conclusion, you’ve already addressed potential issues that would raise concern or cause disagreement. Use your data and story to empower the audience with insights which can inspire action. The key is to present the data in a meaningful and memorable way.
Presenting data in a meaningful and memorable way:
1. 3 steps to inspire action: Data + Narrative + Visuals
You hit the sweet spot with your audience through exploring the right data for your audience and their needs, creating a compelling narrative around their data, and creating visuals that will enable and support your insights.
2. Effective data-driven storytelling
A white paper on Interactive storytelling by CITO states that while there are no hard and fast rules for writing a good story, there are general guidelines that will help you ensure that your data-driven story is effective. To build your narrative based on the audience’s data, start by thinking about the ending. What are your trying to achieve? What action would you like to see? When working with our clients some typical destinations for them would be: How can we increase sales volumes? How can we reduce manufacturing costs? How can we improve customer service?
Capabilities to Look for in a Self-Service Analytics Solution
Upload date: 04 December 2017
Imagine a company where everyone has access to the data they need, when they need it.
No one has to submit a request to IT. Everyone can generate insights at the moment of decision making, and dig deeper into relevant data. That’s a data-driven organization, and it is powered by a self-service analytics solution.
But, how do you choose the one for your organization?
Read on to see how the right self-service analytics solution can meet all your business needs and lead to better business decisions.
What is a self-service analytics solution?
A self-service analytics solution enables people, processes, and technology
to work together to uncover data insights. As the market for self-service
analytics technologies grows, there are several top capabilities you should
look for to ensure the solution meets both IT and business needs.
Qlik Earns Multiple #1 Rankings in The BI Survey 2017
About The BI Survey 2017
Upload date: 19 October 2017
- BARC’s BI Survey 17 is based on findings from the world‘s largest and most comprehensive survey of business intelligence end users, conducted from February to June 2017.
- The BI Survey 17 had 2,564 participants that answered a series of detailed questions about their usage of a named product.
- Altogether, 42 products (or groups of products) are analyzed in detail.
- The BI Survey 17 examines user feedback on BI product selection and usage across 29 criteria (KPIs) including business benefits, project success, business value, recommendation, customer satisfaction, customer experience, innovation and competitiveness. There are 29 KPIs in total.
- Qlik has licensed the BI Survey for external marketing use: October 18th 2017 –Oct 18th 2018
Qlik® achieves top rankings in 12 categories
At InteleQt we are excited about enabling performance in the organisations we work with. We are passionate about building analytic solutions that are rich with insights and that can support improved business decisions. Companies which make better decisions deliver hard business benefits: rapid implementation of problem solving activities, productivity and superior financial performance. We are currently working with several of our clients to improve their reporting capability to enable improved decision making and business performance.
What is report automation?
Report automation is the process of scheduling an existing report (that somebody currently produces at some level of frequency) to automatically refresh and be delivered to specific places or people at specific regular intervals.
Why would you automate your reports?
Do you rely on somebody in your business to spend an extraordinary amount of time mining and extracting data from multiple data sources, combining the data, and then cutting and pasting information into another document, before it is distributed to various people in the organisation? Is the process then repeated a week or month later, with the same amount of effort and energy being replicated?
The primary reason that companies choose to automate reports is to save time.
Through freeing up time and capacity of analysts and line managers in the business, they are able to focus on value adding activities.
What are the benefits to automating your reporting:
Efficient and accurate reporting:
Automation of reports enables one version of the truth, efficiently deploying accurate reports to the target audience. As the reports are now formatted and coded upfront, broken formulas and macros, missing values and references are a thing of the past. Automation eliminates manual errors that inevitably happen from time to time. With reduced errors, the timely reports deliver a greater level of compliance, report utilisation, customer satisfaction, quality decision making and continuous improvement.
Increased value adding activities:
We have consistently found in the organisations in which we work, that report automation frees up valuable time of analysts or line managers to:
- Build real insights and clear actions plans from the data because they have more time.
- Explore and discover other data sets therefore creating further value for the business.
Reducing time-consuming and repetitive manual reports enables employees to be more productive and efficient.
Enabling speed in decisions making and increased performance:
Well-designed reports align teams to the organisation’s strategy and enable critical decisions to be made. Automated reports support the social systems within an organisation through empowering line managers and employees with timely, accurate and insightful data. This enables them to get closer to performance, understand gaps and spot the opportunities. Decisions are made faster and enables fast and efficient execution within teams and across the value chain.
- Want to reduce the time it takes to collate your reports?
- Reduce the errors associated with manual reporting?
- Want to deploy accurate and consistent data to multiple audiences in your organisation?
- Free up capacity to get to value adding work?
- Shift decision making and the quality of execution across your business?
Contact us to help you understand how we can help you with your reporting capability.