2017 The Year of Data LiteracyOutsource UK Business Intelligence Team looks at

what 2017 holds for the world of Business Intelligence.

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The Outsource Business Intelligence Team

Reece is an avid festival

goer

Anna is a chocolate

lover

Jen’s weakness is

‘dark n stormy’

Claire is half way through dry January

The concept of visualization will move from “analysis only” to the whole information supply

chain

Improved semantics will shift big data from size to combinations

Visual Rendering

The Year of Information Activism

The Year of Data Literacy

Context Driven visualization

Context Driven Visualization

2016: The ‘post-fact era’• Identifying that there are actual real-life

people who can take BIG data and do something with it!

• Where Data Scientists & Engineers were noted as the people who really understood what Data Insights were:

• Qualified enough to advise on high- level business decisions

• Worth their weight in gold!

Data literacy includes the ability to read, work with, analyse & argue to data.

2017: The year of growth and ‘Data Literacy’:• Spreading insights and literacy

throughout different organisational functions, ensuring that all areas of business benefit from business insights, and ultimately becoming a critical skill of the future

• With the looming redundancy of Data Warehouses and the push forward with more affordable, Cloud enterprise processes.

• ‘Whole’ information will become the master input to what is currently mined during the process of Data Visualization. Therefore Data-Vis will naturally move away from ‘analysis’, and move toward inputs from ‘whole’ supply chain offering wider visibility across multiple business functions.

Data Semantics

and Catalogues

Data Prep

Visual Analysis

Storytelling and Collab

2017 & Data Literacy

Data Pollution - News travels like wildfire through media. Online algorithms plus an overload of counter productive data cause risk of producing ‘data pollution’, ‘biased’ or ‘fatigued’ insights. For example, Insight consumers can be led in ignorance due to experts such as econometrist's, who are using earlier measured ways of collecting data like voting, poll information and historical data to draw up trends and analysis. An example was the recent election and campaigns where over 80% of the ‘Factual information’ provided to the UK was incorrect based on incorrect sources and bias data.

‘Solution Orientated’ Data Visualization – where improved semantics will shift ‘Big Data’ to ‘Big Insight’. Big Data analytics become more solution orientated and focused on the possible, providing better data quality, insights and outcomes.

Visualization the Commodity – Personal Analytics become more and more readily available with the introduction of ‘Freemium’ access to visualization tools and removes barriers to entry enabling people to learn and utilise their own data and become more Data Literate. With the entry of Geospacial Augmented Reality (eg.Pokemon Go!) and heavier investment in Internet of Things throughout 2017. IoT will enable us to contextualize analytics in a physical world and capture “moments” to build from in the future.

Machine learning

Human Reasoning &

QuestionsData

Science

Augmented Intelligence

Sweet spot

Advancing AnalyticsMan and Machine are more widely developed over Machine and Machine. Throughout 2017 “Advanced Analytics” mature into “Advancing Analytics” through the optimisation of Machine Learning and Data Science against Human Reasoning and Questions, to find the optimal area for research and development, predictive models and shared findings.

‘Operational Analytics’

Traditional BI Management Layers

Modern BI Information Activities

Custom Apps Info Workers

Embedded Developer Operational Workers

Operational AnalystsA wave of people who do not build applications, but are simply able to use them effectively and with ease in order to maximise business decisions and strategies. “WWI - Workers with information” The concept of embedded BI takes Analytics ‘as a destination’ (or process of doing) to a much simpler analytics that ‘come to you’-type approach. Where applications are pre-determined and user access is widespread. This allows all areas of an organisation to benefit from operational analytics and growth.

Weblogs

Open Data

Sensors

Industry Data

Dark Data

Geospacial

Data

Customer Data

Financial Data / ERP

Human Resources

Data Warehouse Lake

100% On-Premises

Personal

Business Unit

Enterprise IT

100% Cloud / External

Cloud

Cloud uptake across business, both traditional and new data-ready, will increase by close to 50%, with a potential plateau and then eventual decline in the use of warehousing or data lake ‘on premise’ solutions. The uptake in transient data and agile methods will become more and more widely used within the industry. Freemium licensing and newer enterprise scale options available to businesses and individual users will force the cost of on-premise to external to go down, enabling IT to benefit across a wider range of business functions.

IT

Eco Systems

Compute

Data

People

Data

People

Ideas

Governance and Quality - is a key part in the purpose of analytics and will be something to watch. If too much governance is enforced by a single party, the quality of the analysis can be altered, bias or unjust. Driving business forwards with a mentality of ‘none of us are as smart as all of us’ will maximise innovation and ideas.

Storytelling – 2016 identified Data Scientist as the role to aspire to, with higher-level thinking and influence, combined with a deeper understanding of analytics, methodologies and organisational change. Data Scientists rose up throughout the year as a fashionable and highly-respected position. This year brings new challenges. With the wider use of machine learning and human intervention, coupled with the skills encompassed within data science, interpreting data will be essential as we move closer toward augmented intelligence. Data Artisan, Data Journalist and Storyteller will be the roles to supercede scientists through 2017.

Storytelling

• Open and Secure

• Open platforms & ecosystems

• Stack vendors• Specialist tools

• On premise, public, private and edge computing

• Internal and External

• Centrally published, embedded and personally created

User Expansion

Data Expansion

Business Expansion

Computing Expansion

Fewer compromises

IT

Contact the Outsource Business Intelligence teamTo assist you with contract & permanent opportunities

01793 430021 outsourcebi@outsource-uk.co.uk