Mon.Mar 11, 2019

article thumbnail

Enterprise BI from Yellowfin

David Menninger's Analyst Perspectives

I am happy to offer some insights on Yellowfin drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

article thumbnail

The enterprise data warehouse of the future

IBM Big Data Hub

Though the enterprise data warehouse (EDW) has traditionally been the repository for historical data such as sales and financials, it is quickly evolving to meet the demands of new technologies.

Insiders

Sign Up for our Newsletter

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

article thumbnail

What Is Ad Hoc Reporting – And Do I Need It?

Sisense

We all know the saying, “fail to prepare, prepare to fail,” but in modern business environments, things are moving too fast to be able to predict the next ten steps. What you most need to know right now – whether to improve performance, boost profits, or storm ahead of the competition – could be totally different to what you’ll need to know this afternoon.

article thumbnail

Gartner Analyst’s Take on Decision Management: What It Is and Why You Need It

Decision Management Solutions

February 20 th , 2019 W. Roy Schulte, Research Vice President and Distinguished Analyst at Gartner gave an interesting webinar titled, “ Decision Management: What It Is and Why You Need It.” Roy kicked off the webinar by stating that “companies make millions of operational decisions every day,” and how well (or not) they make these decisions is directly correlated with the business thriving (or not).

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

PwC: On GDPR and the Future of Data Privacy Regulations

Dataiku

The effects of the European Union’s General Data Protection Regulation (GDPR) swept across the globe last year as the enforcement deadline came and went in May 2018. But GDPR is really just the beginning - there are plenty of other wide-reaching data privacy regulations in the works, including in the United States, so companies will need to be ready.

67
article thumbnail

The Future of Data and Analytics is Now

Andrew White

Data and analytics leaders are driving digital transformation, creating monetization opportunities, radically improving customer experience and reshaping industries. The time is right for them to exploit data in order to inform smarter actions that drive better, consistent organizational outcomes. In this research collection, we’ll share new strategies, guidance and best practices to help you realize a future based on data you can trust, agile analytics you can rely on, and the clarity needed to

More Trending

article thumbnail

Marie Kondo’ing Your Customer Experience Projects

Jenny Sussin

I still have my sophomore year of high school yearbook. I know I don’t need it, I know it doesn’t fully “spark joy,” but I can’t seem to get rid of it. In my personal life I’m not good at de-cluttering but when it comes to speaking with clients about their customer experience (CX) projects, I’m practically Marie Kondo.

article thumbnail

The Digital Twin and Quantum Physics

CONTACT Software

New topics must be sorted with suitable terms. They make communication efficient, because in the best case the sender does not have to explain things from scratch. The term Product Lifecycle Management was a fairly good way of doing this. You remember: “From the cradle to the grave” and so on. But as the Germans are, they go to the bottom of everything and even deeper.