BI for Start Ups, Business Intelligence, Data Nerds, Learning New Things

3 first steps into becoming a Business Intelligence resource

BI - Books to start with
BI recommended beginners reading

Note that I did not write Data Scientist or Business Intelligence Expert. This is because this post is meant for those who plan to join the field with no former experience.

To become a Data Scientist or Business Intelligence Expert, you have to learn the basics of handling data first.

Here comes a starters list:

  1. You need to understand the basic business metrics and KPIsWhat data is currently used for.

Check basic KPIs for different branches and learn to the intended purpose of the measurements. Most data collected today is used for Descriptive analysis, i.e. looking back at what has happened. To start the journey towards BI and data expertise, you need to understand the basics of BI today. Some suggested books are in the above image – BI recommended beginners reading.

2. Next step is to understand how the data you are collecting today will be used in the future. This will give you invaluable insight into what data you need and how the solutions need to be designed to deal with future analysis needs.

Descriptive vs Predictive analysisIn any career, you need to be strategic. All businesses want to utilize their data for strategic actions and competitive advantage. A big part of this understanding how customers will or may act in the future. Based on customer behaviour today, what will they need in, say – one year, two years etc.

Descriptive vs Predictive analysis 23. Learn the basic techniques and methodologies of handling, processing and analyzing data.

Most of these are well described in Kimball’s Data Warehouse tool kit which has been invaluable for me. I still re-visit it, when a difficult problem arises and I have forgotten exactly how the syntax or logic should be. SQL and data modelling techniques are globally useful and a good base to build you data expertise on. Please refer to the above image – BI recommended beginners reading.  Additionally, there are numerous online resources so you are spoiled for choice! Just find something that works for you in the learning process and keep learning.

Feel free to make contact with questions or input! And leave comments with your own suggestions below.

Thanks! /Linda

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Business Intelligence, Data Nerds, Data Science, IT Management

Data Quality is Our Day Job

Data quality should be everyone’s job. And it is in the business intelligence department. It is not a glamorous dress up, smile and relax profession. It is a sweaty, bloody and teary frustrating grind. Some days, it is stimulating and fun!

50% of working hrs — BI resources are in hidden data factories. Hunting for data, finding and correcting errors, and searching for confirmatory sources for data they don’t trust.

60% of working hrs — Data scientists spend cleaning and organizing data.

75% — Total cost associated with hidden data factories in simple operations, where resources are (1) Verifying/validating data quality or (2) Resolving data quality issues.

Friday Afternoon MeasurementThere are those who have successfully tried the Friday Afternoon Measurement – Spending Friday afternoons measuring the data quality for the previous week. This also helps to qualify and quantify the activities that will be needed to improve data quality the following week.

The One in Ten Rule is also a good method/tool to measure data quality.

You cannot change that which you do not know or understand.

Business Intelligence, Data Nerds, Data Science, IT Management, Learning New Things

To Enjoy Data and BI, Learn to Learn and Don’t be afraid of Change

“The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn.” — Alvin Toffler

BI and Data Science are the artistic, creative side of finding truths in unexpected nooks and crannies of organizations and societies. Finding links and interpreting the messages being received from the different interconnections and integrations between systems to ensure a holistic view of the world and of organizations. If you want to enjoy working with data, learn to learn and unlearn everything all the time. Because what you know today, what data tells you this minute, may change in two hours.

AI and LearningAI is changing our answer to “what will you be when you grow up?” The answer is not always nurse, pilot, accountant or all the cute things we said when we were children! In this age, you can say AI manager, Robot Designer or Machine Learner without blinking an eye. It is our future and imagine it! We need to imagine it positively in order to embrace our future so we can manage it.

No fear, even the AI-predictions may change, and the course of our lives will be altered. That is OK. We will learn whatever comes.

Don’t waste energy on trying to control the change, you cannot control the change, because it is out of our small hands. Change may happen because data and statistics can be manipulated or due to the fact that our virtual, online realities are changing every hour. A post on twitter may change the sales predictions your sales team made yesterday. An online AD today may change your expansion vision for 2018.