Big data is driving fundamental change within organizations. However many organizations continue to struggle to transform this torrent of data into business relevant knowledge and insight. A new approach to analytics is therefore required.
In this webinar, Belatrix will be joined by Juan Damia, the chief executive of Intellignos. Intellignos is a leading consulting firm specializing in helping companies improve their use of data via more effective analytics. Juan Damia has pioneered the use and development of analytics 2.0, or “meta analytics”.
During the webinar we discussed:
-The trouble with traditional big data analytic approaches.
-How can companies overcome the challenges with big data analytics? And what is “meta analytics”?
-The importance of forming an analytics governance department.
-The role of the CTO/CIO in this transformation
-Case studies
-Q&A
3. • Problem.
• Introduction. Main Definitions.
• What is meta analytics?
• What does meta analytics mean for companies?
• Ideas about creating an analytics governance department
in a company.
• What role does the CTO/CIO have in this transformation?
• Practical examples
• Q&A
Index
Analytics is the set of practices which simultaneously uses statistics, computing platforms and operational market research in order to identify findings in large volumes of data.
The problem, is not the technique.
Meta Analytics (Beyond Analytics) includes into the analytics arena two key concepts. The analyzed object (Systems) and the Subject who analyzes the information (Human).
Companies are systems composed by people. If you leave those two variables aside, you get all the problems you see today in companies and their “drowning in data decision makers”.
Analytics Governance centralizes the generation of findings, based on the objectivity of the information within organizational structures, in a specific area or department that works out of the productive structure of the organization.
Centralizes the generation of findings: If everyone owns a task, no one does it. In order to achieve an objetive, someone has to be responsable for coordinating the resources towards its achievement. Centralizing an activity has several advantages like Focused vision, Fast Execution, Reduce conflict and easier Control and Accountability.
Based on the objectivity of the information: Information is what allows decision-makers to base their decision over a scenario with a specific certainty and risk. The lack of information gives place to uninformed opinions and inferences that leads to risky decisions. It also leads to discussions based on “people” and not on “ideas”.
Within organizational structures: Understanding organizational structures are key to implement an Analytics Governance department. All the interactions which allows the company to achieve its results are related to some of its components, so you can’t develop an information system without understanding the organization structure first.
In an specific area or department: That works out of the productive structure of the organization: In order to have a view of the company as a whole, understanding its interactions, formal and informal communication flows, decision-making flows and restrictions, its vital that all activities are centralized in an area which has an overall view of the organization.
CTOs and CIOs are key players in the transformation. CTOs and CIOs are not anymore tech guys. They have to understand that they are business guys that use technology to facilitate the comprehension of the information to improve the decision making.
Once we understand that the main objective of the system “company” is making money (today, EBITDA, and in the future, purchasing intention) it’s easy to understand why It’s important that anyone at the C Level (Guardians of the bottom line) have a business approach of their duties and responsibilities.