April, 2019

Why Data Driven Decision Making is Your Path To Business Success

datapine

We read about it everywhere. The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason.

Tukey, Design Thinking, and Better Questions

Simply Statistics

Roughly once a year, I read John Tukey’s paper “The Future of Data Analysis” , originally published in 1962 in the Annals of Mathematical Statistics. I’ve been doing this for the past 17 years, each time hoping to really understand what it was he was talking about.

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What Does Clustering in Data Mining Mean?

DataFloq

Data mining and clustering are closely interlinked. They both focus on the pattern recognition underlying a particular dataset. Mainly, it’s a joint effort of machine learning, pattern recognition and statistics. They help in discovering patterns in data.

Why a data scientist is not a data engineer

O'Reilly on Data

Or, why science and engineering are still different disciplines. "A A scientist can discover a new star, but he cannot make one. He would have to ask an engineer to do it for him.". Gordon Lindsay Glegg, The Design of Design (1969).

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019

Analytics Vidhya

Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop. The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya.

Become more strategic with data analytics

Phocas

By taking control of your data, business people are better equipped to drive growth by developing effective strategies, negotiating better prices with suppliers, increasing sales, and managing risks. In this blog, we will outline a few key ways to leverage data to position your company for success.

More Trending

Microsoft Races to Catch Up in Analytics and BI Market

David Menninger's Analyst Perspectives

I am happy to offer some insights on Microsoft drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements.

Top AI algorithms for Healthcare

DataFloq

The benefits of AI for healthcare have been extensively discussed in recent years up to the point of the possibility to replace human physicians with AI in the future.

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Specialized tools for machine learning development and model governance are becoming essential

O'Reilly on Data

Why companies are turning to specialized machine learning tools like MLflow. A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects.

8 Awesome Data Science Capstone Projects from Praxis Business School

Analytics Vidhya

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.

How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

How data analytics is evolving from analyzing the past to predicting the future

Phocas

To compete in today's competitive market place, it is critical that executives have access to an accurate and holistic view of their business. The key element to sifting through a massive amount of data to gain this level of transparency is a robust analytics solution.

Your Guide To Project Management Dashboards – Examples & Templates

datapine

Projects are one of the cornerstones of a successful business. Sector or industry aside, strategic initiatives focused on specific areas of the business are what helps drive an organization forward, growing, progressing, and evolving year after year.

Interview with Abigail Britton, Data Science Lead, Anheuser-Busch InBev

Corinium

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.

How to Make Chatbots more Intelligent with Contextual Intelligence

DataFloq

Chatbots need to have contextual awareness if they have to adequately resolve a query. This contextual awareness leads to intelligence over time, by handling millions of queries over significant periods.

The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

Why companies are in need of data lineage solutions

O'Reilly on Data

The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show , I spoke with Neelesh Salian , software engineer at Stitch Fix , a company that combines machine learning and human expertise to personalize shopping.

8 Useful R Packages for Data Science You Aren’t Using (But Should!)

Analytics Vidhya

Introduction I’m a big fan of R – it’s no secret. I have relied on it since my days of learning statistics back in. The post 8 Useful R Packages for Data Science You Aren’t Using (But Should!) appeared first on Analytics Vidhya. Data Science Data Visualization Machine Learning R data science data visualization machine learning R package

How to create a report on yesterday’s sales activity

Phocas

Waiting for traditional reports is often a long and frustrating process. Because these reports are usually generated by the IT department and can take time to be completed. Oftentimes, factors change, making it obsolete by the time the report is received.

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Dashboard Storytelling: From A Powerful To An Unforgettable Presentation

datapine

Plato famously quipped that “those who tell stories rule society.” This statement is as true today as it was in ancient Greece – perhaps even more so in modern times.

The Time-Saving Power of Intent Data for Sales

By using the power of intent data, capturing buyer interest has become more feasible for sales. Not only that, but using it will save immense time during your workflow; a win-win on all fronts.

Data Scientists vs. Data Engineers

Corinium

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. CDAO Africa CDAO Africa Insights

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Blockchain and AI: A Perfect Match?

DataFloq

Blockchain and Artificial Intelligence are two of the hottest technology trends right now. Even though the two technologies have highly different developing parties and applications, researchers have been discussing and exploring their combination [6]. PwC predicts that by 2030 AI will add up to $15.7

What data scientists and data engineers can do with current generation serverless technologies

O'Reilly on Data

The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future.

A Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python

Analytics Vidhya

Introduction I have always been fascinated with games. The seemingly infinite options available to perform an action under a tight timeline – it’s a. The post A Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python appeared first on Analytics Vidhya. Python Reinforcement Learning deep reinforcement learning python q-learning

How ZoomInfo Enhances Your Database Management Strategy

Forward-thinking marketing organizations have continuously invested in a database strategy for enabling marketing processes. Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time.

How to keep favorite data views close at hand

Phocas

What data can't you live without? Actual sales versus budget, stock on hand, low margin against products? Phocas allows you to save a number of favourite data views so factual decision-making is easy. Product Job Role - Executive Job Role - Inventory/Operations Job Role - Marketing

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Qlik Sticks to Interactive Analytics and Discovery

David Menninger's Analyst Perspectives

I am happy to offer some insights on Qlik drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements.

Be a Data Avenger not a Carpenter

Corinium

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.

How Big Data Is Transforming Insurance

DataFloq

Data analysts often use the term “big data” to describe data sets that are too large to store and analyze with traditional methods such as relational database management systems (RDBMS). Big data is greatly affecting the operations of many businesses, including those in the insurance sector.

How ZoomInfo Enhances Your ABM Strategy

For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns. And to begin the targeting process, marketing teams must develop an Ideal Customer Profile (ICP) with appropriate firmographic and behavioral data to ensure they’re going after the correct audience.Download this eBook to learn how to start improving your marketing team's data!

Strata San Francisco, 2019: Opportunities and Risks

O'Reilly on Data

Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data. The Strata Data Conference in San Francisco was filled with speakers talking about opportunity.

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How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!)

Analytics Vidhya

Introduction We are currently in the midst of a global fitness revolution. Most of the people I know are geeking out over the latest. The post How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!) appeared first on Analytics Vidhya. Data Visualization R data science data visualization ggplot2 Interactive dashboards

How to track your sales reps performance against budget

Phocas

Sales methods must adapt to a rapidly changing marketplace. Therefore, it’s crucial that sales teams have access to accurate data in real-time so they can adjust their techniques as needed.

Sales 173

Looker Bets on LookML

David Menninger's Analyst Perspectives

I am happy to offer some insights on Looker drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements.

ROI 170

Design Thinking for Product Teams: Leverage Human Insight Throughout Development

Product teams must increase their exposure hours with customers—seeing and hearing them. Human insights and the design thinking framework can be applied to your development cycle to help you build better products and experiences for your customers.