Занимался проектированием и внедрением инфраструктуры для работы отдела аналитиков.
Data Analyst School. Practical lessons
Today most corporations are going through digital transformation and implementing data-driven approaches. They need data analysts, but can not attract competent specialists from the market. A practical solution is to build a self-service analytic culture by teaching existing business users to use modern data processing tools.
I will tell how we've succeeded in organizing and promoting corporate learning to top management and students. I'll tell how to get practical results apart from "gazillion number of students have attended courses".
Analyst for Data Governance
Today leading companies realise that data is a valuable asset and try to make data-driven decisions.
Eventually, most companies are starting to implement Data Governance processes.
We'll talk about an important role of business and system analysts in this process.
Data Governance is a global task for the whole company, and large companies need a lot of people with good analytic skills. We'll share our approach for this task.
More Than a Document
In this report, we discuss the practical aspects of the synchronous maintenance of documentation, visual models and various types of dependencies between model artifacts.
While writing a document an analyst outlines numerous dependencies by mentioning something or using cross-links. By formalizing this process we can move from a bulk of unrelated documents and artifacts to a well-organized structure, which enables us to easily figure out where something is used and what it depends on.
It's also important to answer the question "when and why something changes?". We show how Track Changes mode in Word can be adapted as versioning system. By using this standard feature we can easily
- link revisions to tasks or releases
- get an expressive view of changes covering a long period of time
- evaluate the mutual effect of multiple changes and find conflicting changes
The report is focused on modelling, automatization and systematisation issues in analyst's daily work.