Bob Nieme - @BNieme• Founder ofAdversitement, O2mc, Digital Power• Digitally active since 2000• CEO, CVO• Married with children (4)• Hockey, golf• Non reader – scanner• Passion keydriver to get results
Big Data a paradigm shiftIn information technology, big data is aloosely-defined term used to describe data sets solarge and complex that they become awkward towork with using on-hand database managementtools.Difficulties include capture, storage, search,sharing, analysis, and visualization. The trend tolarger data sets is due to the additionalinformation derivable from analysis of a singlelarge set of related data, as compared to separatesmaller sets with the same total amount of data,allowing correlations to be found to "spot businesstrends, prevent diseases, combat crime."Just more data ….. a V and a V and a V.. So what!
Create business valueThe US Federal Trade Commission calls on companies to “act now to make privacy the ‘default setting’ forcommercial data practices and give consumers greater control over the collection and use of their personal datathrough simplified choices and increased transparency.”Balance your value
Create business valueDigital Transparency as a result of wisdom
54 For you as a company! 1. Empowering pro-active data drivencompanies towardsdigital businessexcellence.
55 For you as a user! 2. Develop andimprove trusteddigital experiences forinternet users.
56 To be reliable for everyone! 3. Facilitate a secureinfrastructure and beauditable byregulators.
Create business value 57 Data is your commodity to achieve digital business excellence • Prices – comparaBve-‐ be transparent • Quality of services – reviews -‐ be transparent • Social Media – vulnerable -‐ be transparent • Business partners – relaBonships -‐ be transparent • Knowledge sharing – specialists -‐ be transparent
Create business value Analysts • Need data to build reports • What happened yesterday • Responsive on quesBons from out the business • Data “@ rest” experts • Understand today -‐ are lost in tomorrow • Results is business rules, workﬂow management and processes Data ScienBsts • Common sense to determine opportuniBes • Will have impact on tomorrow • Pro-‐acBve business • PredicBve models • Don’t care for today focussed on future • Results in data-‐driven decisioning 58 Pla[orm, People and Process