Cost & benefits of business analytics marshall sponder
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5 de Nov de 2011•0 recomendaciones•862 vistas
Cost & benefits of business analytics marshall sponder
5 de Nov de 2011•0 recomendaciones•862 vistas
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Cost & benefits of business analytics marshall sponder
- 3. 1)Start by building Departmental BI Systems (i.e.: Sales)
- 4. … Then, Link Departmental BI together into Enterprise BI
- 5. Setting up and Maintaining A Single Version of “Truth” is costly IT personnel costs account for 71% of total costs
- 9. The Social Enablement Audit TM Source: WebMetricsGuru Inc Map You Data!
- 10. Finding where Data lies, How to Enable it, and Weather to do so Source: WebMetricsGuru Inc
- 11. Enabling Data Capture Source: WebMetricsGuru Inc
- 19. Check Your Maturity Level? Source: Collective Intellect
- 21. Demystifying the Challenge of Enterprise Data Source: Oz Sultan Enterprise Companies made large investments in content, operations management and commerce systems that don’t easily integrate with social media technologies. Lastly, the concept of user profiles is very similar to Marshall Sponder’s allusion to “ultraviolet data”. In the Enterprise, there’s unseen or “ultraviolet data” as well as multiple user profiles in multiple repositories across different corporate divisions (think CRM, CSR, Marketing, Corporate Communications and Operations).
- 22. Ultraviolet data is the information “you could be catching, but aren’t” Source: Oz Sultan The Value of This Data is “immense”
- 25. Marshall Sponder WebMetricsGuru INC. www.smabook.com www.webmetricsguru.com [email_address] @webmetricsguru @smanalyticsbook http://www.smabook.com WebMetricsGuru INC.
Notas del editor
- assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Business Intelligence is such a vast and highly technical subject that few people can fully speak to it – I’ll start off by introducing it as I understand it – without getting into the nitty gritty too deeply.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- We have to determine just how much cost savings there is going to be by taking a closer look, via an audit, as mentioned earlier.
- Our speaker will provide an assessment of the necessary costs involved in turning customer data into valuable information, and how investment today will reduce waste and result in financial returns.
- First, it's helpful to know how much energy and attention one is willing to spend on data enablement services in the enterprise, as this work takes a while to do well. Then, it's good to be a little introspective, examine the situation, decide if undertaking data enablement project will add to the clarity of your organization, or add to the confusion. If, the latter is the case, don't proceed (until that is sorted out). Like passing by an artifact, or something unusual, it often takes a certain state of readiness to proceed. In fact, without the right frame of mind, it might be much harder to get much out of this work/project (see Presencing, a few lines ahead) Just wanting to enable your data might not be enough, in and of itself (aligning stakeholders, gaining finding, setting realistic timelines, conducting an audit of what is or isn't available often needs to take place, before enablement can begin).
- Some precedent comes with this as well, particularly with the Presenaing approach taught at Harvard - the approach taken to data enablement, at the onset, and throughout the process, will determine how this project will develop, as well as its ultimate success - as this entire process is not a commodity - it is something relatively new - often untested - and as such, needs to be handled with care, and the right approach.
- Finally, it is helpful to assess the data maturity level of the client in terms of this enablement process - I wrote about how to ascertain this maturity level in my book and at allanalytics.com recently. To put it in a nutshell - It's better to have outside consultants, such as myself, to do this kind of work, paired with internal resources for help in locating resources and asking questions, ad hoc, as they come up.
- In the 80’s we saw the PC rise to change the way we engaged with computing devices and managed our lives. In the 90s, the Dot Com boom gave rise to a vast number of internet technologies that have since been incorporated into products and offerings of major technology brands. Oracle became more than a database and a few financial service offerings growing to encompass corporate portals, analytics and recently even Hardware. Microsoft’s applications are available in the cloud. E-commerce, once a multi-million dollar endeavor for corporations, has been democratized by Open source technologies. All of these things happened in five-year spans. Today, we’ve seen Facebook become a platform that rivals the Google Empire. Twitter and Yammer are allowing for communication and information sharing in ways that couldn’t have been envisioned a decade ago.
- Combined this data could be better used to solve complex business problems; better market companies; eliminate gross inefficiency while driving innovation.