David Menninger's Analyst Perspectives

JANUARY 29, 2019

Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.

Business Intelligence 261

Business Intelligence Data-driven Analytics Optimization 261

O'Reilly on Data

JANUARY 29, 2019

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning.

Deep Learning 212

Deep Learning Machine Learning Data Science Metadata 212

DataRobot Blog

JANUARY 27, 2019

by Jen Underwood. In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. Read More.

Machine Learning 92

Machine Learning Modeling Predictive Modeling Predictive Analytics 92

Business Over Broadway

JANUARY 27, 2019

A recent survey revealed that 84% of data pros have used at least one ML framework in the last 5 years while 51% of data pros have used at least one ML product in the last 5 years. The most popular ML frameworks include Scikit-Learn, Tensorflow and Keras. The most popular ML products include SAS, Cloudera and Azure. Figure 1. Machine Learning Frameworks used in last 5 years.

Machine Learning 89

Machine Learning Data Science Technology Analytics 89

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Birst BI

JANUARY 29, 2019

How do you deliver more insights out to more people? Operationalizing BI and analytics – that is, putting the power of data in the hands of everyone across the enterprise, not just analysts and data scientists – has always been the mantra for Birst co-founder Brad Peters. According to research from Eckerson Group, when an organization deploys a BI and analytics system, roughly 10% of employees have the skills needed to produce insights from corporate data and deliver them to decision makers.

Analytics 78

Analytics KPI Machine Learning Visualization 78

O'Reilly on Data

JANUARY 31, 2019

The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit. In this episode of the Data Show , I spoke with Maryam Jahanshahi , research scientist at TapRecruit, a startup that uses machine learning and analytics to help companies recruit more effectively. In an upcoming survey, we found that a “skills gap” or “lack of skilled people” was one of the main bottlenecks holding back adoption of AI technologies.

Machine Learning 183

Machine Learning Analytics Statistics Reporting 183

IBM Big Data Hub

JANUARY 31, 2019

IBM Cloud Private for Data is a data and analytics platform that provides that cohesive ecosystem to accelerate data monetization to impact your bottom line without the data leaving your organization.

Analytics 76

Analytics 76

BizAcuity

FEBRUARY 1, 2019

Welcome to the smart age. Technology has spread its roots to almost all realms of business, so much so that ‘smart’ has become today’s norm. That’s a great deal of progress, yes. But it doesn’t mean technology has done everything there is that can be done. Sitting behind our desks, tapping away on our keyboards, we’re constantly on the pursuit to push technology; pick it up and put it a new scenario and see what we can achieve.

Data Warehouse 73

Data Warehouse B2B Business Intelligence Data-driven 73

O'Reilly on Data

JANUARY 28, 2019

Consent is the first step toward the ethical use of data, but it's not the last. Informed consent is part of the bedrock of data ethics. DJ Patil, Hilary Mason, and I have written about it , as have many others. It's rightfully part of every code of data ethics I've seen. But I have to admit misgivings—not so much about the need for consent, but about what it means.

Insurance 174

Insurance Metadata Data Collection Marketing 174

erwin

JANUARY 31, 2019

The General Data Protection Regulation (GDPR) made its first real impact as Google’s record GDPR fine dominated news cycles. Historically, fines had peaked at six figures with the U.K.’s Information Commissioner’s Office (ICO) fines of 500,000 pounds ($650,000 USD) against both Facebook and Equifax for their data protection breaches. Experts predicted an uptick in GDPR enforcement in 2019, and Google’s recent record GDPR fine has brought that to fruition.

Data Governance 72

Data Governance Metadata Cost-Benefit Enterprise 72

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Data-driven

IBM Big Data Hub

JANUARY 28, 2019

One of the best parts of Think is hearing details of successful implementations of hybrid data management solutions and machine learning directly from peers across a variety of industries.

Machine Learning 75

Machine Learning Management 75

The Data Visualisation Catalogue

JANUARY 30, 2019

While researching on the Buzz Surrounding VR Data Visualization , I found the most common claim being made was that VR allows for more “Natural” interactions with the data. Initially, I thought to myself, how could virtual reality actually make things seem more natural? The fact that it’s called VIRTUAL reality already implies that it’s something unreal and not connected to the natural, physical world.

Interactive 70

Interactive Visualization Big Data Technology 70

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. Most organizations have defined the process to build, train and test machine learning models.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

Juice Analytics

JANUARY 30, 2019

“TV of tomorrow is now here.” So says The Guardian. The TV show that brought us into the future is Bandersnatch , the recently released interactive television show from the Black Mirror anthology. Bandersnatch is sort of modern reincarnation of the Choose Your Own Adventure books of your childhood. Some reviewers raved about the new experience: "This is what Bandersnatch gave me that no other movie had ever been able to.

Recreation/Entertainment 50

Recreation/Entertainment Interactive IT Technology 50

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

IBM Big Data Hub

JANUARY 30, 2019

IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value of an investment in IBM Watson Studio and Watson Knowledge Catalog.

Measurement 73

Measurement Consulting 73

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Predictive Analytics – a Priority for FP&A. Moving up the analytics maturity curve from merely describing and reporting the past to gaining real insight and foresight into the future is a near-

Predictive Analytics 42

Predictive Analytics Forecasting Sales Analytics 42

Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. The advantages of advanced analytics are numerous and those advantages are based on the ability to further improve the business, increase user adoption (and therefore user empowerment and accountability) and, best of all, improve the bottom line and the accuracy of predictions and forecasts that will dictate the success of the business in the futu

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Data Virtualization

JANUARY 30, 2019

In this article, I will discuss the complexity of data migration when transitioning to a new system, based on the traditional ways of working. I will explain why data virtualization can play a role in taking away this complexity, for. The post How Much Time Could Your Company Save If You Said Goodbye to Data Migration? appeared first on Data Virtualization and Modern Data Management.

Management 40

Management Data Lake Data Warehouse Data Integration 40

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

IBM Big Data Hub

JANUARY 29, 2019

In the study, the definition of fast data starts with the technical characteristics mentioned in our last article, but there’s more to that definition.

Data Strategy 77

Data Strategy Strategy 77

Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Modeling 53

Modeling 53

Nutanix

JANUARY 31, 2019

The arrival of cloud computing to enterprise IT brought much more than new business value and end-user utility. Most notably, confusion. An entirely new set of terms was created to describe the many varieties of virtual data storage and transmission.

Enterprise 20

Enterprise IT 20

Mark Raskino

JANUARY 30, 2019

Just a quick reminder – what follows is one senior analyst sharing some thoughts. It is not a Gartner position. Blogs are un-reviewed personal writings, not published research. In my job as a Gartner analyst I do a lot of international travel. Then I come home to the United Kingdom of Great Britain and her dominions… or as I sometimes jest with colleagues and clients – “the disunited kingdom of great brexit and her dumb opinions”.

Publishing 40

Publishing Risk Reporting Management 40

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

Smarten

JANUARY 30, 2019

Can Augmented Analytics Tools Improve Business User Analytics Adoption? When a business commits to data democratization and to improving data literacy, it must add advanced analytics tools that will support these initiatives. The education of business users is crucial if these projects are to be successful, but no business has the time or the money to schedule intensive training.

Analytics 40

Analytics Forecasting Predictive Modeling Visualization 40

Teradata

JANUARY 31, 2019

Atif Kureishy explores how to fill the artificial intelligence skills gap.

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Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Modeling 40

Modeling 40

Smarten

JANUARY 28, 2019

Citizen Data Scientists Improve Productivity and Innovation in the Enterprise! A business that does not optimize its resources is doomed to fail. In this rapidly changing business environment and market, every organization must make the best of precious human resources. No one has enough funding to hire additional resources to get the job done and, when there are extra funds, those funds are quickly earmarked for new products, marketing and other crucial activities.

Business Analytics 40

Business Analytics Analytics Forecasting Enterprise 40

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales