the-principles-behind-effective-analytics-and-how-to-avoid-wasting-your-time

the-principles-behind-effective-analytics-and-how-to-avoid-wasting-your-time

9/22/2015

link

http://rubenugarte.com/blog/the-principles-behind-effective-analytics-and-how-to-avoid-wasting-your-time/

summary

In this blog post, the author discusses the principles behind effective analytics and provides tips on how to avoid wasting time on ineffective practices. The article emphasizes the importance of setting clear goals and objectives before diving into analytics, as well as the need to focus on actionable metrics rather than vanity metrics. It also highlights the significance of data quality and the importance of investing time in data cleanup and verification. Additionally, the author emphasizes the value of continuous learning and experimentation to improve analytical skills and decision-making. Overall, the article serves as a guide for individuals and businesses looking to make the most of their analytics efforts.

tags

analytics ꞏ data analysis ꞏ data-driven decision making ꞏ business intelligence ꞏ performance measurement ꞏ data visualization ꞏ data interpretation ꞏ data collection ꞏ data management ꞏ data reporting ꞏ data insights ꞏ data tracking ꞏ data strategy ꞏ data-driven marketing ꞏ data-driven optimization ꞏ data-driven strategies ꞏ data-driven solutions ꞏ data-driven business ꞏ data-driven approach ꞏ data manipulation ꞏ data processing ꞏ data modeling ꞏ data exploration ꞏ data validation ꞏ data accuracy ꞏ data quality ꞏ data governance ꞏ data security ꞏ data privacy ꞏ data ethics ꞏ data-driven culture ꞏ data-driven organization ꞏ data analytics tools ꞏ data analytics techniques ꞏ data analytics process ꞏ data analytics platforms ꞏ data-driven insights ꞏ data-driven results ꞏ data-driven innovation ꞏ data-driven marketing strategy ꞏ data-driven growth ꞏ data-driven decision support ꞏ data analytics best practices ꞏ data visualization techniques ꞏ data analysis methodologies ꞏ data analytics trends ꞏ data-driven industry ꞏ data-driven success ꞏ data-driven goals