2. A typical executive makes three “big decisions” a month. In
corporations these decisions impact profitability and
shareholder value.
In the greater world “big decisions” have “big impact” on
world issues such as climate change, peace and conflict,
clean water or the status of women.
3. There are 1,000’s of use cases that cannot be solved with
machine learning data only. These involve complex
systems, with little or no historical data.
No matter how sophisticated your algorithm these issues
may always require a human to interpret them.
4. The data and technology exists today to make “Big
Decisions” within complex organizational systems.
However, in most companies the human component is
missing. Data is siloed and decisions are not made
holistically.
Moderator Notes
Thank you for having us
Brief Introduction of the Panel
Gilligan’s Island had the Millionaire, the Professor and the Movie Star. We have the Consultant, the Data Scientist, the Big Data expert, and the Talent Executive.
Lorien Pratt, Chief Scientist and Co-Founder of Quantellia Software
Nadine Rubin, Founder of Adam Bryce Executive Search
Neera Talbert, Vice President, Big Data and Advanced Analytics Services, Revolution Analytics
Christina Xiao, Associate Partner, Analytics, IBM Global Business Services
Moderator Notes
Each question will fly in one at a time
What is decision intelligence and why is it important in making Big Decisions? (Lorien)
PROBING QUESTION: How is decision intelligence different than predictive analytics?
PROBING QUESTION: Where are you seeing organizations spend the most money today in relation to data? Are they getting value for their data projects?
What problems do you see decision intelligence solving in your client organizations? (Christina)
PROBING QUESTION: How do clients ask for this information? Is it typically couched in a request for “business intelligence” or “business analytics”? Do clients even know what to ask for?
Who do you see “owning” the data in most organizations that you interact with? Asking this another way, who is the end user of “decision intelligence”? (Neera)
PROBING QUESTION: How does a lack of ownership impact your client’s ROI?
We just hired a “Chief Data Officer” so we’re good right? (Nadine)
PROBING QUESTION: So who should own the data? Does this role exist today or is it a combination of roles in most organizations? What are the talent solutions that are needed to develop or recruit this person to your organization?
Moderator Notes
Each question will fly in one at a time
What is decision intelligence and why is it important in making Big Decisions? (Lorien)
PROBING QUESTION: How is decision intelligence different than predictive analytics?
PROBING QUESTION: Where are you seeing organizations spend the most money today in relation to data? Are they getting value for their data projects?
What problems do you see decision intelligence solving in your client organizations? (Christina)
PROBING QUESTION: How do clients ask for this information? Is it typically couched in a request for “business intelligence” or “business analytics”? Do clients even know what to ask for?
Who do you see “owning” the data in most organizations that you interact with? Asking this another way, who is the end user of “decision intelligence”? (Neera)
PROBING QUESTION: How does a lack of ownership impact your client’s ROI?
We just hired a “Chief Data Officer” so we’re good right? (Nadine)
PROBING QUESTION: So who should own the data? Does this role exist today or is it a combination of roles in most organizations? What are the talent solutions that are needed to develop or recruit this person to your organization?