datapine

MAY 2, 2019

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. But while doing so is easy, a great dashboard still requires a certain amount of strategic planning and design thinking. Knowing who your audience is will help you to determine what data you need. Knowing what story you want to tell (analyzing the data) tells you which data visualization type to use.

Visualization 173

Visualization Dashboards Sales Data-driven 173

David Menninger's Analyst Perspectives

MAY 1, 2019

About 10 years ago, social media tools like Facebook, Twitter and LinkedIn introduced a wave of collaborative analytics and BI capabilities. We saw chat streams associated with specific analyses that users could like or endorse. The number of contributions a user made to the community was part of his or her profile so others could accordingly weigh the importance of the input.

Analytics 191

Analytics Business Intelligence Technology 191

Peter James Thomas

MAY 3, 2019

Larger PDF version (opens in a new tab). Introduction. As part of my consulting business , I end up thinking about Data Capability Frameworks quite a bit. Sometimes this is when I am assessing current Data Capabilities, sometimes it is when I am thinking about how to transition to future Data Capabilities. Regular readers will also recall my tripartite series on The Anatomy of a Data Function , which really focussed more on capabilities than purely organisation structure [1].

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

TDAN

APRIL 30, 2019

AI is a new buzzword in the corporate environment, and although 98% of companies are aiming to become data-driven, less than one third succeeded in 2018. There are multiple reasons behind this inability to adopt AI and data-driven approaches. For most organizations, there are significant obstacles to using AI daily, which have to do with […].

Data-driven 53

Data-driven Data Architecture Data Strategy Big Data 53

Advertiser: ZoomInfo

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

Sales

Analytics Vidhya

APRIL 28, 2019

Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you. The post Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!) appeared first on Analytics Vidhya.

Analytics 302

Analytics 302

O'Reilly on Data

MAY 1, 2019

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Continue reading Sustaining machine learning in the enterprise.

Machine Learning 216

Machine Learning Enterprise 216

Corinium

MAY 1, 2019

AI will allow us to meet a cause that was defined 15 years ago but it has its challenges, says Faraz Shafiq, SVP and CAIO of Cambia Health Solutions.

IT 150

IT 150

Analytics Vidhya

MAY 2, 2019

Introduction What is one of the most important and core concepts of statistics that enables us to do predictive modeling, and yet it often. The post Statistics 101: Introduction to the Central Limit Theorem (with implementation in R) appeared first on Analytics Vidhya.

Statistics 300

Statistics Predictive Modeling Modeling Analytics 300

O'Reilly on Data

MAY 1, 2019

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more. People from across the data world are coming together in London for the Strata Data Conference. Below you'll find links to highlights from the event. Making the future. James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.

Advertising 199

Advertising Machine Learning Predictive Analytics Data Science 199

Smart Data Collective

MAY 2, 2019

Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. However, a number of small businesses are getting in on the action too. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.

Big Data 111

Big Data Optimization Modeling Deep Learning 111

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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

Testing

Corinium

APRIL 30, 2019

Corinium’s data analytics events are designed to provide deep value to senior leaders and decision makers who are responsible for driving the strategic growth of data analytics within their organisations. Gert Botes , Data Analytics Portfolio Director - MEA conducted a brief interview with Abigail Britton , Data Science Lead at Anheuser-Busch InBev , who will also be presenting at CDAO Africa (17 – 18 July 2019, Johannesburg). -.

Data Science 150

Data Science Data Analytics Analytics 150

Analytics Vidhya

APRIL 30, 2019

Introduction Data science is an ever-evolving field. As data scientists, we need to have our finger on the pulse of the latest algorithms and. The post Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition) appeared first on Analytics Vidhya.

Data Science 300

Data Science Analytics Deep Learning Machine Learning 300

O'Reilly on Data

MAY 2, 2019

Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination. Continue reading Privacy, identity, and autonomy in the age of big data and AI.

Big Data 146

Big Data 146

Martha Bennett

MAY 1, 2019

More than six months have passed since I wrote Forrester’s predictions 2019 report for distributed ledger technology (DLT, AKA blockchain). In the blockchain world, that’s ages ago. As I keep being asked how those predictions are shaping up, and having just attended two excellent events in New York, now’s a good time to take stock. […].

Reporting 110

Reporting Technology 110

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

Corinium

APRIL 30, 2019

Very often, there is a confusion on the difference between Data Scientists and Data Engineers. Most organizations use the terms interchangeably thus causing further confusion between the exact roles and responsibilities for each profile.

150

150

Analytics Vidhya

APRIL 29, 2019

Introduction It is not the strongest or the most intelligent who will survive but those who can best manage change. Evolution is the only. The post 8 Awesome Data Science Capstone Projects from Praxis Business School appeared first on Analytics Vidhya.

Data Science 275

Data Science Management Analytics IT 275

O'Reilly on Data

MAY 1, 2019

Cassie Kozyrkov explains how organizations can extract more value from their data. Continue reading Making data science useful.

Data Science 129

Data Science 129

CIO Business Intelligence

MAY 1, 2019

With business generating more data than ever before, organizations are rapidly investing in business intelligence (BI) capabilities to help them generate insights from that data to drive better business decisions and identify new opportunities.

Analytics 107

Analytics Business Intelligence 107

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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

Corinium

APRIL 30, 2019

Ok guys , heres my first blog and I hope it’s a good start. Happy to get your feedback whether be it positive or constructive, however my objective here is to share my ideas and communicate with you regardless of where you are located. The topic is about the analytical and data story telling.

Analytics 150

Analytics IT 150

Analytics Vidhya

APRIL 30, 2019

Introduction In the last 6 years – we have helped millions of users in learning data science, we helped hundreds of companies across the. The post Last Chance to Register on our Flagship Course – AI & ML BlackBelt appeared first on Analytics Vidhya.

Data Science 238

Data Science Analytics Machine Learning 238

O'Reilly on Data

MAY 2, 2019

Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications. Continue reading Rise of the (advertising) machines.

Advertising 124

Advertising Marketing 124

DataRobot

MAY 2, 2019

So, you have successfully trained a machine learning model after choosing the best algorithm and high-quality training data. Time to celebrate, right? Not quite!

Machine Learning 101

Machine Learning Modeling 101

Advertiser: ZoomInfo

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

Sales

Corinium

APRIL 29, 2019

Are you extracting maximum insights from your data? You know crude oil is more valuable when it’s processed. Data is the same. It’s much more valuable when you can use it to drive your business forward. Conventional data warehouses can’t handle the volume, complexity, and variety of today’s data, and they can’t empower all your teams to access and analyze that data in real time.

Data Warehouse 150

Data Warehouse Data Quality Data-driven IT 150

Analytics Vidhya

APRIL 29, 2019

Introduction 90-95% of the times we find ourselves working with tabular data in machine learning. That number jumps up even more in machine learning. The post Winning Solutions and Approaches from the Machine Learning Hikeathon: Feature Engineering Special! appeared first on Analytics Vidhya.

Machine Learning 226

Machine Learning Analytics Data Science Visualization 226

O'Reilly on Data

MAY 1, 2019

Mick Hollison describes why hybrid and multi-cloud is the future for organizations that want to capitalize on machine learning and AI. Continue reading The enterprise data cloud.

Enterprise 124

Enterprise Machine Learning 124

BizAcuity

APRIL 28, 2019

According to a Federal Bank report, more than $600 billion of household debt in the U.S. is delinquent as of June 30th, 2017. Out of which, $400 billion is delinquent for more than 90 days. This shows the need to rectify this issue before it becomes a crisis. A crisis that not only poses a serious threat to consumers, as debt accumulates interest, but may also cause trouble for businesses, as there is a chance that it may eat into their revenues.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Data Science 101

APRIL 27, 2019

An enlightening video about how a single pixel change can fool a neural network. The entire Two Minute Papers Youtube Channel is full of similar videos about other papers in AI.

Data Science 98

Data Science 98

Smart Data Collective

APRIL 29, 2019

Big data technology has played a very big role in solving many business challenges. LinkedIn released a report last year on the benefits of using predictive analytics and other data technology for branding. However, some of the lessons big data has unveiled are far from surprising. Predictive analytics data has helped brands understand the secrets to boosting customer loyalty.

Predictive Analytics 97

Predictive Analytics Analytics Big Data Interactive 97

O'Reilly on Data

MAY 1, 2019

James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction. Continue reading Making the future.

Predictive Analytics 120

Predictive Analytics Analytics 120

Teradata

MAY 1, 2019

Teradata CMO Martyn Etherington discusses how brands can build, measure, and maintain brand equity. He also explains why customer experience is critical to a brand's success.

Measurement 97

Measurement 97

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting