Big data analysis is mission-critical to pinpoint sales deficiencies, analyze financial trends and improve software development projects.
Over the years, I’ve served roles with companies desperate to consolidate data analysis. Unfortunately, this hybrid skill set isn’t easy to find. The deep dive into the analysis of the data is paramount to isolating trends and process efficiencies. Then build actionable documentation to develop new procedures.
Growing your organizational processes is critical to working smarter. Ideally by pinpointing gaps in data analysis. Or in software documentation and product development. Don’t forget about API integration and testing.
The missing component throughout these categories is critical thinking skills for business analysis. This is the gap many companies are looking to bridge between public-facing help content and user engagement.
The analytic side is the missing link. Areas I excel at combined with my technical writing and API design talents:
- Deep analytics monitoring of user engagement.
- Product design and requirements development.
- Risk management and analysis.
Helping developers build better product is another area of business analysis. Especially when teams are expected to enhance products for users.
My experience working with developers across the globe is they’re open to different perspectives building streamlined solutions. Standards and specifications are at the root of the SDLC. It’s a role I’ve served many times.
Data analysis offers a variety of metrics. Many companies are now seeing the efficiencies of agile workflows. Especially when fragmented teams require the sharing of updated procedures and requirements.
Over the years I’ve had the luxury of working with many software development teams. The result is a fanatical commitment to accountability throughout the entire process.
My advice to any company struggling with hard decision-making is to become experts at agile data analysis and reporting.