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

what 2017 holds for the world of Business Intelligence.

01793 430021

outsourcebi@

outsource-

uk.co.uk

Click icons

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

& Questions

Data Science

Augmented Intelligence

Sweet

spot

Advancing Analytics

Man 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 Analysts

A 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 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 team

To assist you with contract & permanent opportunities

01793 430021 outsourcebi@outsource-uk.co.uk