Operations

Key considerations for Technology

Use Data to Drive Decisions

1

Maximize Revenue

Learn the value drivers and stimuli that drive customer engagement, conversion and ROI. 

2

Innovation

Build a Test and Learn Environment to validate or discover new insight without the risk to daily business.

3

Accerate Decision Making

Analytics allows an organization to be efficient by bringing the facts. No more haggling over opinions. 

4

Build Knowledge

Understand customer behaviour and monitor the key performance indictors that drive your business. 

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Prioritizing IT Workloads

Trying to figure out which analytics projects to focus on can be daunting, but by using these simple concepts you can get going on your analytics journey. There are two key dimensions that willl help us:

Impact (x) in which we attempt to understand and measure the percieved impact of this work on the organization after understanding corporate goals to maximize revenue, drive innovation or other.

Difficulty to Execute (y) where we evalute: (i) Do we have have the resources and knowledge in place to start?  (ii) What is the percieved difficulty of the problem / project ?  (iii) What is the expected amount of time to solve the problem?

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The Right Skills To Succeed in Technology

Understand strengths and areas of opportunity to ensure Analytics succeeds!

Evaluate your organization's talent and infrastructure to understand the current state (blue) of your analytics practice.

Understand key business objectives and strategic plans to identify an ideal state (orange) for an analytics practice at your organization.

Address key "gaps" between current state and ideal state to ensure the long term success of your business. 

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