IMEX Frankfurt - BIG DATA session - Human Equation

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    12-Jul-2015

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BIG DATAWhy is this Issue a Big Deal for International Associations?

The GapHistory of data

Last centuryThe birth and raise of the Information TechnologyDATATIME

3Last centuryThe value of dataDATATIME

$$$4Next decadeThe GapDATATIMETHE GAP$$$

5Why you should careWorking the GAP132Your data value is decreasing rapidly Cost to keep data up-to-date is increasing as much as the required time to ensure quality and consistency.Your data is fragmenting and leakingProcessing data is getting cheaper. Your data (clients, ambassadors, etc) is leaving traces in other databases. With enough sources, someone could be able to figure out your internal data.

You dont want to be the last man standingMore and more value is being generated by opening up your data rather than sinking with it.Open Data and Big Data enable you to extract business intelligence at a never available before level.6Truth is: The GAP is getting hugeWorking the GAPDuring 2008, the number of things connected to the Internet exceededthe number of people on earth.By 2020, there will be 50 billion.- CISCO7Outsourcing changes41%59%100%250h360h610hSpent on the projectClientHuman EquationTotal project+=You cant buy your way out of this one85 sources of dataFor a typical organization

The 5 DATA SOURCESYou should be looking at

Internal DataSemi-Structured DataSocial Media DataPaid Data

Open Data

10What is Open Data?Changing the discussion

FreeStructuredAutomatically updatedOrganicReal-TimeUniversal

11What is Open Data?Change in the discussionAdopted by 41 governments, Open Datahas now reach a critical mass of more than10 million datasets.- Wikipedia12Case Study 01From Champion to Sponsored

Available data

29Case Study 02From Visitors to Clients

Next steps

CMM Capacity Maturity ModelData Governance and Performance PlanInitial - data is not centralized and managed by a committee. Extraction of business intelligence is chaotic, ad hoc, individual heroics.Repeatable - the data is centralized and at least documented sufficiently such that stakeholders can get some business intelligenceDefined - the plan is defined/confirmed as a standard business process, and connect various data to stakeholdersManaged - the plan is now quantitatively in accordance with agreed-upon performance and metrics. Instructions.Optimizing the data governance plan is growing, challenging stakeholders with new, unrequested business intelligence coming from organic sourcesDo you have a Data Governance and Performance plan ?39CMM Capacity Maturity ModelData Governance and Performance PlanInitial - data is not centralized and managed by a committee. Extraction of business intelligence is chaotic, ad hoc, individual heroics.Repeatable - the data is centralized and at least documented sufficiently such that stakeholders can get some business intelligenceDefined - the plan is defined/confirmed as a standard business process, and connect various data to stakeholdersManaged - the plan is now quantitatively in accordance with agreed-upon performance and metrics. Instructions.Optimizing the data governance plan is growing, challenging stakeholders with new, unrequested business intelligence coming from organic sourcesDo you have a Data Governance and Performance plan ?40CMM Capacity Maturity ModelData Governance and Performance PlanInitial - data is not centralized and managed by a committee. Extraction of business intelligence is chaotic, ad hoc, individual heroics.Repeatable - the data is centralized and at least documented sufficiently such that stakeholders can get some business intelligenceDefined - the plan is defined/confirmed as a standard business process, and connect various data to stakeholdersManaged - the plan is now quantitatively in accordance with agreed-upon performance and metrics. Instructions.Optimizing the data governance plan is growing, challenging stakeholders with new, unrequested business intelligence coming from organic sourcesDo you have a Data Governance and Performance plan ?41CMM Capacity Maturity ModelData Governance and Performance PlanInitial - data is not centralized and managed by a committee. Extraction of business intelligence is chaotic, ad hoc, individual heroics.Repeatable - the data is centralized and at least documented sufficiently such that stakeholders can get some business intelligenceDefined - the plan is defined/confirmed as a standard business process, and connect various data to stakeholdersManaged - the plan is now quantitatively in accordance with agreed-upon performance and metrics. Instructions.Optimizing the data governance plan is growing, challenging stakeholders with new, unrequested business intelligence coming from organic sourcesDo you have a Data Governance and Performance plan ?42CMM Capacity Maturity ModelData Governance and Performance PlanInitial - data is not centralized and managed by a committee. Extraction of business intelligence is chaotic, ad hoc, individual heroics.Repeatable - the data is centralized and at least documented sufficiently such that stakeholders can get some business intelligenceDefined - the plan is defined/confirmed as a standard business process, and connect various data to stakeholdersManaged - the plan is now quantitatively in accordance with agreed-upon performance and metrics. Instructions.Optimizing the data governance plan is growing, challenging stakeholders with new, unrequested business intelligence coming from organic sourcesDo you have a Data Governance and Performance plan ?43Merci!e. dbrochu@humanequation.comt. @david_brochul. linkedin.com/in/davidbrochu44

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