February 23, 2012

Staff Augmentation

Are your analysts struggling to get insights out of your data? Would they benefit from experienced advice and support?

There is increasing pressure on organisations to make sense of their information, however their business analytics team either don’t have the capacity, or the skills and experience to gain sophisticated insights out of the data. At the same time, organisations are unable to increase their head count, or are finding it hard to find a solution for developing their existing staff.

Altis’ Business Analytics Staff Augmentation allows you to simultaneously improve the business insights you get from key data, whilst developing the competence and talent of your existing business analytics staff in a managed, structured approach. We can:

  • Mentor your staff, transferring knowledge on business analytics and data mining best practice while they work on your real business problems
  • Provide recommendation on how to improve your Business Analytics capability such as internal processes, organisational structure, analytics tools and infrastructure environment
  • Provide recommendations on staff development

Our Business Analytics Staff Augmentation covers both business engagement and technical delivery, as per the following:

Business Engagement

  • We will help you to engage the business, identify and prioritise work that will improve your value to the business
  • Assist you in uncovering the business’s true needs, and how to manage the business’s assumptions and expectations
  • Mentor your staff in identifying and managing potential project risks, and communicating their findings to the business in a way that’s easy to understand
  • Transfer knowledge on how to measure the success of your Business Analytics in both monetary and other intangible business terms

Technical Layer

  • We will help you identify the data relevant to the project, and how to apply the relevant business rules, and data preparation requirements
  • Provide direction on selecting the most suitable algorithm(s) for the job at hand (for example, segmentation, prediction, estimation, text mining), and how to evaluate the suitability of the model and performance
  • Guidance and assistance on how to deploy the results in the organisation’s back-end databases and front-end systems
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