Effective data analysis is learned overtime. It takes time, patience and effort. Here are few tips which can help to make the journey of learning smoother.

·         Use simple analysis terms and methods rather than complex algorithms. If your customer and engineers are not able to understand your analysis then all the effort goes in vain.

·         Look for multiple data sources. 

·         Use familiar tools rather than new tools. We should stay updated with the newest technology in market but avoid abundant use of fancy new tools which are difficult to understand. Stick to classics.

·          Provide your insights with the indicators.

·         Clean your data.  Structure it properly. Look for the center, unusual features, spread, and shape of the data. 

·         It is important to move in the right direction rather than spending too much time on definitive answer.

·          Value how actually software works rather than how you understand or think software works.

Read the full article here:  http://dataconomy.com/7-habits-of-highly-effective-data-analysis/

We all have heard Time is money. Speed is one of the most important factors which determines cost in IT industry. So here are the five actions which will increase speed and productivity and will result in great potential success.

1. Integrated service play.

2. Establish a new strategic intent driven by business rather than function.

3. Reorganize the computer structure by making cross functional teams that work across different disciplines.

4. Invest in the appropriate and technologies.

5. Consider options for renting with technologies like cloud. Read the full article here: http://www.cio.com/article/3022757/it-strategy/5-moves-to-make-your-it-group-more-responsive-to-business-demands.html