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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
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'
DOWNLOAD THE FULL REPORT
DBdonkey.com -FREE -No Signup
$" $"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
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