As a Certified Data Management Professional (CDMP) and having worked in different data roles as Data Analyst, Data Scientist, Data Architect, and even led Data Architecture Project, I can see before me a major challenge for the African Market.
Data!
Data!!
Data!!!
The same Data that is spurring new opportunities in the continent might lead to the fall of others or make them lose the game to their competitors.
Businesses in Africa believe so much in revenue without attention to Technical excellence. We have been growing double digits...
... why do I need to spend this huge amount on a project (Data Architecture) that will not generate any revenue but rather incur more cost (new hires and salaries).
This is the illusion some company's management team are facing today.
How do we convinced these people?
Without a proper data management and governance, you can continue to scale linearly, but for your organisation to SCALE EXPONENTIALLY, you need a proper Data Management and Governance program.
There are lots of challenges that comes with scaling a business with data
So, what does data management entails?
Let's look at the different knowledge area according to DAMA: 1. Data Architecture 2. Data Modelling & Design 3. Data Storage & Operations 4. Data Security 5. Data Integration & Interoperability 6. Document & Content Management
/...
7. Reference & Master Data 8. Data Warehousing & Business Intelligence 9. Metadata 10. Data Quality 11. Data Governance.
11 different knowledge areas!!🔥
Data Governance binds all the 10 together.
Rate your organisation on all these areas, you will see OPPORTUNITIES
Data Management is also a journey but it is important that organization have the correct roadmap and actionable timelines.
As a Data Management Specialist, you will be at the centre. Leading efforts to ensure adequate governance and progressive maturity on these areas.
Lots of people have approached me today looking for Data Management Analyst. Unfortunately, I don't know anyone I can recommend.
You don't necessarily need to be a data scientist, analyst, etc before you can work as a Data Management Specialist. There are training that can help
If you are interested in this career path, your first assignment before coming to me is 1. Ask Google all the questions coming to your mind right now 2. Ask yourself if you would like to go this path and find your WHY 3. Use the comment section to ask further questions not my DM
4. Follow me, I will be sharing more useful resources in the coming days that will help you know more about the field of Data Management and how you can kick-start your career on this path.
Excel Skill and Concepts a Data Analyst Should Know
Check this 🧵🧵🧵 for more details
Kindly RT 🙏
It is always encouraged that a data analyst should learn how to use Excel or other spreadsheet app to work with data. As a matter of fact, Excel is the closest tool to understanding complex challenges in your Journey.
If you can do it with Excel, you can figure it out for others
Mastering Excel is a Journey and what you end up knowing still depends hugely on your role.
I will however highlight some concepts you should be familiar with as a Data Analyst in Excel.
Note: It is not sufficient to be familiar with them, you should Know WHEN TO USE THEM.
As a Data Analyst or Scientist, it is good to Netflix and chill sometimes.
This is why I will be recommending 10 Movies on Data Science for your viewing pleasure 😊
Curled from DataScienceDojo Blog and some by myself
No 1. I, Robot (2004)
Will Smith stars as Chicago policeman Del Spooner in the year 2035. He is highly suspicious of the A.I technology and robots being used as household helpers
No 2. 2001: A Space Odyssey (1968)
This classic film by Stanley Kubrick addresses the most interesting possibilities that exist within the field of Artificial Intelligence.
Dear BEGINNER Data Analyst, Ask yourself these questions to avoid learning Data Analysis for 2 Years 🧵
As a BEGINNER Data Analyst, to get the best while learning, you should have a strong reason for learning and give it the right level of commitment and dedication.
Be sincere with yourself and ask the following questions...
1. What can make it impossible for me to learn this skill? 2. What are my potential source of distractions? 3. Who will be my accountability partner? 4. What are the basic concepts every beginner should know? 5. How long do I have to learn the basics?
6... and many more
Kaggle is not just a competitive data science platform, it's one of the largest repositories for datasets, it is also a Cloud IDE where you can build and deploy a model.
Check details in this 🧵
This is a good opportunity to take your learning journey more seriously. Upskill yourself with this learning challenge.
Details in the THREAD
To participate and get qualified for the Microsoft Award, choose one of the following solution areas and complete the 3 steps:
Track 1: Azure Fundamentals
Step 1: Click the Link below to learn with others in the Azure Fundamentals Cloud Challenge docs.microsoft.com/en-us/learn/ch…
Step 2: Register for the Microsoft Azure Virtual Training Day: Fundamentals Course with the link below