Every angle jacques adriaansen

The world needs Smart Data more than Big Data

Jacques AdriaansenBig Data Expo Utrecht – September 21, 2016

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Need for a bit Less Complex and Stable Big Data Landscape

Need for (scarce) Data Scientists delivering ‘Smart Data’

Big Data has potential, but…

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Need for Real Business User Self-Service (RBUSS)

What RBUSS and Smart Data yielded for Coca Cola and JD Group

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The Awesome Ways Big Data Is Used TodayTo Change Our World

01. Understanding and Targeting Customers 02. Understanding and Optimizing Business Processes 03. Personal Quantification and Performance Optimization 04. Improving Healthcare and Public Health 05. Improving Sports Performance 06. Improving Science and Research 07. Optimizing Machine and Device Performance 08. Improving Security and Law Enforcement 09. Improving and Optimizing Cities and Countries 10. Financial Trading

Source: Bernard Marr

https://www.linkedin.com/pulse/20131113065157-64875646-the-awesome-ways-big-data-is-used-today-to-change-our-world

Internet of Things

Social Media

Unstructured Data

Big Data has potential

https://www.linkedin.com/in/bernardmarr?trk=pulse-det-athr_prof-art_hdr


Internet of Things

Social Media

Unstructured Data

AvailableStructured Data(e.g. ERP)The

Solution !!!

but…… there’s a bit more needed than ‘just’ new technology and tooling, isn’t it?


TheSolution !!!

, and some huge challenges!

AvailableStructured Data(e.g. ERP)

Internet of Things

Social Media

Unstructured Data

The new technology and tooling is there, yet it is

constantly evolving, so… what to choose?

No knowledge nor insight

without (scarce) Data Scientists

IT departments have a hard time responding to requests for new reports

and analysis

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Big Data Challenge 1

Internet of Things

Social Media

Unstructured Data

The new technology and tooling is there, yet it is

constantly evolving, so… what to choose?

Big Data Landscape 2016 (Version 3.0)

http://mattturck.com/2016/02/01/big-data-landscape/

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TheSolution !!!


without (scarce) Data Scientists

Programming

Business

Technology

Mathematics & ModellingStatistics

25 Skills Assessed in theData Science Survey

OptimizationMath

Graphical ModelsAlgorithmsSimulations

Bayesian Statistics

Data ManagementData Mining

Visualization toolsStatistical modeling

Science / Scientific MethodCommunication

Managing unstructured dataManaging structured data

Natural Language ProcessingMachine Learning

Big and Distributed Data

Big Data Challenge 2 – 25 Needed Data Scientist Skills

Systems DesignSystems AdministrationDatabase Administration

Cloud ManagementBack-End ProgrammingFront-End Programming

Product design and developmentProject management

Business developmentBudgeting

Governance & Compliance


TheSolution !!!


without (scarce) data scientists

You will have to form a team of experts

very scarce and highly skilled thus hard to find and quite expensive

25 Skills Assessed in theData Science Survey

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A business user can answer > 90% of his business questions

within 3 minutes time

without the help of IT

What is “Real Business User Self-Service”?

Problems to cope with to get there

Application Logic Complexity

Data Model Complexity

PredictiveAnalytics

ERP (e.g. SAP) already contains loads of data,and most companies have a lot of trouble building

information from that structured pool of data…

Example… “A Simple Business Question”

… more than 35 tables involved!

Estimated development : 40 days

Estimated IT lead-time : 3 months

What’s needed for Real Business User Self-Service

Application Logic

Complexity

Data Model Complexity

Understand it and Hide it for the User

PredictiveAnalytics

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Results @ Coca Cola Bottling Co. Consolidated (US)

Source: Presentation of Brett FrankenbergDirector SC Planning Coca Cola Bottling Co. Consolidated

http://www.everyangle.com/video/coca-cola-ccbcc-enabling-our-people-to-make-better-decisions/?pagenum=3

Business users familiar with SAPhad a very short learning curve

(minutes to hours)

Significant opportunity to CLEANSEour ERP Master Data

as well as Transactional data

Response timesto CREATE and EXECUTE reports

were extremely fast(measured in minutes and seconds! vs hours)

80% of our TOTAL Business requirements for extensionswere able to be implemented and were live in less than 1 week!

(Several of these had been attempted using traditional BI Technologies – without success)

http://www.everyangle.com/video/coca-cola-ccbcc-enabling-our-people-to-make-better-decisions/?pagenum=3

SUPPORT PROCESSESBUSINESS PROCESSES

Every Angle application atS

trategicTactical

INSIGHT

Ad-

Hoc Self Service

BusinessAnalytics

Operational

ACTIONP

rede

fined Operational

Exception BasedAction Lists

ACTION

Corporate Governance Fraud and

Compliance

Operational Exception Based

Action Lists

INSIGHT

Data IntegrityProject

Management

Self ServiceBusinessAnalytics

Insight into SAP and Reporting at JDG (in less than two weeks)

P2P S2D O2C F2R MASTER DATA

ORDERS

STOCK

PROCESS

VENDORS

MERCHANDISE

LOGISTICS

LAYBY

FINANCE

EXCEPTION ACTION LISTS

GOVERNANCE

Improvement Projects Focus

OperationsExcellence

OptimalStock

OptimalGridding

SalesStrategy

ProductRange

Range AnalysisSales Analysis

Grid AnalysisGrid Management

Weighted GMROI Analysis

ProcessOptimization

Working CapitalManagement

Stock Availability

Management

Warehouse Capacity

Management

Business Value Assessment - Quantification Categories

U

Unavailable Information Burden

P Pinpoint Fraud

L Legal Compliance Risk

TTime Savings

FFunds Release

I

Interest Savings on Capital

U P L TFI

Thank you for attending!

Contact details:Email [email protected] https://nl.linkedin.com/in/jacquesadriaansenea

Or step by the Every Angle booth 42 (follow the scent of freshly baked waffles!)

mailto:[email protected]

https://nl.linkedin.com/in/jacquesadriaansenea

Food, Pharma & Chemicals

Utilities & Energy

Discrete Manufacturing

Wholesale, Retail & Fashion

Backup slides

Product design and developmentProject managementBusiness developmentBudgetingGovernance & Compliance (e.g. security)

Skill set of a Data Scientist (team)

Programming

Business

Technology



Optimization (e.g. linear, non-linear)

Math (e.g. linear algebra, real analysis, calculus)

Graphical Models (e.g. social networks)

Algorithms (e.g. Computational complexity, Computer Science theory)

Simulations (e.g. discrete, agent-based, continuous)

Bayesian Statistics (e.g. Markov Chains, Monte Carlo method)

Programming

Business

Technology



Data Management (e.g. de-duplicating, integration, Web scraping)

Data Mining (e.g. Python, SPSS, SAS)

Visualization tools (e.g. mapping, Web-based data visualization)

Statistical modeling (e.g. general linear model, GIS, Spatio-temporal)

Science / Scientific Method (e.g. experimental & research design)

Communication (e.g. sharing results, writing publishing, presentation)

Programming

Business

Technology



Systems DesignSystems Administration (e.g. Unix)

Database Administration (e,g, MySQL, NOSQL)

Cloud ManagementBack-End Programming (e.g. JAVA/Rails/Objective C)

Front-End Programming (e.g. user interfaces, JavaScript, HTML)

Programming

Business

Technology



Managing unstructured data (e.g. noSQL)

Managing structured data (e.g. SQL, JSON, XML)

Natural Language Processing (text mining)Machine Learning (e.g. decision trees, neural nets)

Big and Distributed Data (e.g. HADOOP, Map/Reduce, Spark)

Programming

Business

Technology


Data & Analytics

Every angle jacques adriaansen