David Menninger's Analyst Perspectives

MAY 6, 2019

I am happy to share some insights gleaned from our latest Value Index research, which provides our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Collaborative Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that are designed to reflect t

Analytics 133

Analytics Business Intelligence ROI Software 133

Smart Data Collective

MAY 6, 2019

Self-driving cars and trucks once seemed like a staple of science fiction which could never morph into a reality here in the real world. Nevertheless, the past few years have given rise to a number of impressive innovations in the field of autonomous vehicles that have turned self-driving cars from a funny idea into a marketing gimmick and finally into a full-fledged reality of the modern roadway.

Management 101

Management Insurance Data Collection Cost-Benefit 101

Data Science 101

MAY 6, 2019

Sponsored Post by T.J. DeGroat of Springboard. At Springboard , we recently sat down with Michael Beaumier, a data scientist at Google, to discuss his transition into the field, what the interview process is like, the future of data wrangling, and the advice he has for aspiring data professionals. The full video Q&A is below, but here are some of the highlights.

Data Science 98

Data Science Modeling Machine Learning Testing 98

Smart Data Collective

MAY 6, 2019

Big data is having a huge effect on the future of cryptocurrency markets around the world. A growing number of companies are leveraging big data to streamline cryptotrading and improve security and customer satisfaction. Big Data Made Simple wrote a very helpful post about the benefits of using big data to facilitate the cryptocurrency trading market.

Big Data 96

Big Data Marketing Forecasting IT 96

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Srividya Sridharan

MAY 6, 2019

(Aldila Yunus and Jeremy Vale contributed to this blog post.) It’s official: spring has sprung. The barren trees show signs of vitality and fresh blossoms fill the air with their entrancing aromas once more. Dynamic shifts in our environs abound. Finally we can shake off the winter blues and welcome the optimism that comes with […].

Optimization 85

Optimization Machine Learning Analytics 85

Andrew White

MAY 6, 2019

Our team expanded a few months ago and we welcomed some folks who focus on client-driven research. The team has been busy and now has a library of important, timely, relevant content. This material often includes case studies and increasingly will be interwoven with our other data and analytics research. Here is a page where our new team will keep an updated of such research: Chief Data and Analytics Officer Research Publication List.

Analytics 71

Analytics Data-driven 71

IBM Big Data Hub

MAY 6, 2019

Spreadsheets are not a good option for planning - there is a better way to be efficient, agile and react to change in real-time.

Software 77

Software 77

Andrew White

MAY 6, 2019

Click here here for an interactive PDF to connect to the research directly. This list excludes our branded research such as Magic Quadrants etc.

Analytics 60

Analytics Interactive 60

Jen Stirrup

MAY 6, 2019

I’ve been using Azure Machine Learning for some time, and I’m excited about the new possibilities with the new updates to Azure Machine Learning to make it easier for AI novices to build, train and deploy machine learning models. I believe in the power of AI, and I believe that everyone should get a chance to use it. Microsoft are helping businesses to have easy access to AI, from conception to modelling through to business value creation and sustainability by making it production-re

Machine Learning 40

Machine Learning Modeling Visualization Management 40

CDW Research Hub

MAY 6, 2019

“Going to work” has been replaced with “getting to work” as focus shifts mainly to the things we do as employees, not where we do them. This evolution of how and where we work has expanded the diversity of apps, devices, infrastructures and even people’s working styles. “Going to work” has been replaced with “getting to work”. Each area of the business may have a different reason or challenge involved with mobilizing your workforce.

Strategy 40

Strategy Enterprise Management IT 40

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Jen Stirrup

MAY 6, 2019

I’ve been using Azure Machine Learning for some time, and I’m excited about the new possibilities with the new updates to Azure Machine Learning to make it easier for AI novices to build, train and deploy machine learning models. I believe in the power of AI, and I believe that everyone should get a chance to use it. Microsoft are helping businesses to have easy access to AI, from conception to modelling through to business value creation and sustainability by making it production-re

Machine Learning 40

Machine Learning Modeling Visualization Management 40

Sisense

MAY 6, 2019

Healthcare: everyone needs it, it’s a rapidly technologizing industry, and it produces immense amounts of data every day. To get a sense of where analytics fit into this vital market, I got on the phone with Hamza Jap-Tjong, CEO and Co-Founder of GeriMedica Inzicht, a GeriMedica subsidiary. GeriMedica is a multi-disciplinary electronic medical record (EMR) company servicing the elderly care market and as such, their SaaS platform is filled with data of all kinds.

Analytics 72

Analytics Dashboards Software Finance 72

Smarten

MAY 6, 2019

Augmented Analytics: The Advanced Analytics Solution to Ensure User Adoption! The concept of advanced analytics can seem out of reach for many businesses. Business execs and managers often picture a team of data scientists and IT staff busily analyzing data and, included in that picture, they imagine the bags full of cash required to fund that team of professionals.

Analytics 51

Analytics Predictive Analytics Forecasting Visualization 51