MISTAKES 2014/2015!

Top BIG DATA

21 by  Daniel  Garplid  

An Aggregated View of What You’ll Find on Google

Poor$Data$Quality$11,4%$

Seek$Data$Perfec6on$9,9%$

Aiming$to$high$5,9%$

Lack$of$Change$Management$

5,1%$

Seeking$cause$over$correla6on$

4,9%$

Lack$of$Data$Relevance$

4,5%$

Lack$of$Governance$2,4%$

Select$the$right$visualiza6ons$

1,5%$

Lack$of$Permission$0,8%$

The$Big$3$1.Lack$of$Competence$2.Lack$of$Goals$3.Lack$of$Strategy$and$$$$$$Corporate$support$

53,7%$

2013

From The 2013 Big Data Mistakes Edition

In Just Over A Year - Big Data Has Changed Quite A Bit…

3808$545$

384$348$329$

No$clear$business$case$

Ignoring$bias$

Improperly$contextualizing$data$

You’ve$bet$the$company$on$free$soCware$

UnderesFmaFng$data$quality$

Top$5$Big$Data$Mistakes$2014/2015$

51%$

7%$5%$

5%$4%$

28%$

No$clear$business$case$

Ignoring$bias$

Improperly$contextualizing$data$

You’ve$bet$the$company$on$free$soCware$

UnderesFmaFng$data$quality$

Other$

What The F**K?#!

2014

DB .com%Donkey'

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$" $"Cost structure Revenue streams

Key Resources

Internal Data Sources

External Data Sources

Data Value Proposition

Customer Relationship

Customers Internal & External

Delivery Channels ."

Data Value Canvas

-What type of relationship does each customer expect us to establish and maintain with them? • Buy-in? • Training? • Support? • Maintenance • New features?

-For whom are we creating value? • You? • Your department? • Other departments? • Customers? • Suppliers? • Partners? • Competitors?

-How will the value (data, products and services) be delivered?

• Excel / BI? • Prediction models? • Automated workflows? • Dashboards? • Apps? • Web? • Other…?

-From what ”internal” data sources do we need data?? • Databases?

• Tables? • Columns? • Joins?

• API’s? • Other…?

-What key resources do our data value proposition require? • People? • Competence? • Partners? • Hardware • Software • Other…?

What are the costs; short-term and long-term?

• People • Consultants • Licenses • Hardware

• Support • Maintenance • Training • Other…?

How will the revenue be generated? • Services? • Subscription? • License? •  Increase revenues? • Reduce costs?

• Other…?

!“What'would'we'like'to'know,'that'if'we'knew'the'answer,'would'give'us'an'unfair'advantage'in'the'market?'And'what'would'we'do?'

-“Very often true, and a commonly overlooked opportunity; The more customers for the same data value proposition, the higher the value! This is where you turn your data into gold” - Daniel Garplid Author of Data Value Generation

-From what ”external” data sources do we need data?? • Databases? • API’s? • Buy data from provider? • Social media? • Web? • Other…?

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DB .com%Donkey'

[CC"BY1SA"4.0]!"

•  Who will buy our products and services? We could market only to them and save tons of marketing money, reinvest the money to get more new customers and sales.

•  Who will pay more? Increased revenue and increased margin without losing them to our competitors.

•  Which customers will leave us?"We can take actions to keep them!

•  Which employees will quit?"We can take actions to keep the “good” ones…and…well, don’t take actions to keep the “bad” ones.

•  Which customers are high risk losses? Avoid them.

•  Who will fraud us? Avoid them.

Examples (predictive analytics): If we knew:!

Incl. Data Value Canvas: The #1 Big Data Business Case Workshop Tool

www.100FirstHits.com