article thumbnail

Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. James emphasized the importance of delivering value quickly, even if the solution is only 70% complete, rather than aiming for 100% completeness at the cost of significant delays.

article thumbnail

In-depth with CDO Christopher Bannocks

Peter James Thomas

However, it is hard to ignore the impact that Big Data and related technologies have had. A few years into the cycle of Big Data adoption, do you see the tools and approaches yielding the expected benefits? I have also been on record multiple times saying that every data problem is a people problem in disguise.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Seize The Power Of Analytical Reports – Business Examples & Templates

datapine

That said, we will delve deeper into analytical reporting as well as its value in a real-world business context and consider how to write an analytics report with the help of professional online reporting software. It’s possible to write an analytical report using a spreadsheet, whitepaper, or a simple Word document or file.

Reporting 245
article thumbnail

Business Intelligence Dashboard (BI Dashboard): Best Practices and Examples

FineReport

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. A BI dashboard is becoming an essential strategic mechanism for businesses. However, BI dashboards also present challenges to both BI teams and business users.

article thumbnail

What is a Data Pipeline?

Jet Global

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).