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19
Jun

Organizing for BI, Analytics and Big Data: CoE, Federated or Departmental


  • Data-as-a-Service:  Data Provisioning, Management, Lineage, Quality
  • Reporting-as-a-Service:  Dashboards, KPIs, Drilldowns/Aggregates…. Descriptive
  • Analytics-as-a-Service:  Predictive  Modeling and BI… Prescriptive analytics
  • Information-as-a-Service:  Threshold based Alerts, Exceptions, Mobile Prompts
  • Insights-as-a-Service:   ML/AI based…automated learning – ambient intelligence, Next best Offer/Action

Which strategy are you implementing?

Data is valuable. Data is plentiful. Data is complex. Data is in flux. Data is fast moving. Capturing and managing data is challenging.

So, if you are a senior leader in a Fortune 2000 company.  How do you structure your group to deliver effective BI, Analytics or Big Data projects? Do you have the right structure,  toolset, dataset, skillset and mindset for analytics and Big Data?

Organizing for effective BI, Analytics and Big Data is becoming a hot topic in corporations.  In 2012, business users are exerting  significant influence over BI, Analytics and Big Data decisions, often choosing analytics and visualization platforms and products in addition to/as alternatives to traditional BI platform (reporting and visualization tools).

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4
Jun

Omni-channel Conversion Optimization with Social Marketing/Media Analytics


Brooks Brothers is investing in tools & testing to improve the online experience – and ↑sales. In a test involving one product category page: men’s shirts. The retailer using Bazaarvoice Ratings & Reviews software, used customer reviews to sort items on the product page. Items with five ♥♥♥♥♥- the highest rating – appeared on the top of the page. The result:  a 9% lift in conversions   [Adobe Digital Marketing Symposium]

Are you ready to anticipate and influence your audience in a whole new way? Value migration from traditional marketing to 24×7 digital marketing is happening in leading firms.  Real-time marketing and conversion is now becoming possible.

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