...
Full Bio
Google Go Programming Language Used In Tech's Best Paid Jobs
14 days ago
What Skills Should Have Data Scientist To Get Hired In 2019
17 days ago
Self-driving startup Drive.ai Acquired By Apple
20 days ago
Artificial Intelligence Has Sparked Marketing and Sales Transformation In 2019
20 days ago
Startup Intersect Labs Launches Platform For Data Analysis
20 days ago
Highest Paying Programming Language, Skills: Here Are The Top Earners
628359 views
Which Programming Languages in Demand & Earn The Highest Salaries?
436134 views
Top 10 Best Countries for Software Engineers to Work & High in-Demand Programming Languages
423795 views
50+ Data Structure, Algorithms & Programming Languages Interview Questions for Programmers
256149 views
Which Country Has The Best Programming Language Programmer?
219423 views
Top 20 Questions to Ask Prior to Starting Data Analysis
- Who is the audience that will use the results from the analysis? (board members, salespeople, customers, employees, etc)
- How will the results be used? (make a business decision, invest in a product category, work with a vendor, identify risks, etc)
- What questions will the audience have about our analysis? (ability to filter on key segments, look at data across time to identify trends, drill-down into details, etc)
- How should the questions be prioritized to derive the most value?
- Identify key stakeholders and get their input on interesting questions
- Who should be able to access the information? think about confidentiality/ security concerns
- Who will develop and maintain the report?
- What information will be on each report?
- What reports currently exist in another format? What changes might be made to existing reports?
- What ETLs or stored procedures need to be developed if any?
- What database enhancements are required to meet reporting requirements?
- When will each report be delivered?
- What is the frequency of updates required for the data? to ensure currency
- Which data sources are available to work with?
- Do I have the required permissions or credentials to access the data necessary for analysis?
- What is the size of each data set and how much data will I need to get from each one?
- How familiar am I with the underlying tables and schema in each database? Do I need to work with anyone else to understand the data structure
- Do I need all the data for more granular analysis, or do I need a subset to ensure faster performance?
- Will the data need to be standardized due to disparity?
- Will I need to analyze data from external sources, which resides outside of my organization's data?