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Archive for April, 2011

DO’s and DON’Ts of Motivational Management

April 24, 2011 2 comments
DO’s and DON’Ts of Motivational Management

Practical tips for project team motivation and common pitfalls to avoid

By Vitaly Dubravin

Motivational management has been around for a quite some time, since slavery has proved its inefficiency and process management did everything to suppress initiative and creativity. What is motivational management? Here is a very simple case that explains it.

Imagine you are at the very end of a project, the acceptance day is approaching rapidly and your team is a few days behind the schedule. There are most common management behaviors shown in such case. The first is a childish questioning every team member “Are we there yet?” hourly to demonstrate that you are in control and ready to respond to “How we doing?” from the stakeholder instantaneously. And the second approach is where you have a short morning briefing with the team, once again reemphasize why the importance for “all of us” to catch up, checking who may need help and provide the most comfortable and non-stressful atmosphere for the team to continue cracking the challenge. Read more…

DW/BI: Cost Reduction for Better Security

Data Warehouse implementation: Cost reduction for better security

Dynamic Data Masking can help drastically reduce Data Warehouse development cost while improving overall data security.

By Vitaly Dubravin

Data Warehouse and Business Intelligence (DW/BI) implementation is frequently considered a black hole for the IT budget.  It is hard (almost impossible) to run a business without one, but requires substantial investment to reshape your existing transactional systems to clean “dirty” data, fix existing (but broken) business processes and formalize analytical needs for different departments. Vast majority of these costs have nothing to do with the Data Warehouse, but become noticeable during DW/BI project.

My team at GRT Corporation has deployed tens of Data Warehouses for Fortune 50, as well as smaller size companies.  One of the most common challenges for DW/BI implementation is loose definition of business requirements by the business. This is not something that can be fixed, for a simple reason – it’s very hard to tell what you need for the system until you start using it every day. Good Data Warehouses are built in phases not because the scope is huge, but because user requirements are changing while the business is getting hands-on experience analyzing real data. Read more…