July, 2019

Data Veracity: a New Key to Big Data

DataFloq

In his speech at Web Summit 2018, Yves Bernaert, the Senior Managing Director at Accenture, declared the quest for data veracity that will become increasingly important for making sense of Big Data. In short, Data Science is about to turn from data quantity to data quality.

DataOps as a Discipline

Tamr

DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. What does that mean in terms of benefits? Data-driven aspects of the business can respond rapidly to changing business needs.

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Big Data Is Already A Thing Of The Past: Welcome To Big Data AI

Smart Data Collective

Not long ago, big data was one of the most talked about tech trends , as was artificial intelligence (AI). But, in case people need a reminder of how fast technology evolves , they only need to consider something newer — big data AI. It combines elements of both technologies.

Responsible Citizen Data Science. Yes, it is Possible.

Jen Underwood

by Jen Underwood. To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. Read More.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

7 Fundamental Steps to Complete a Data Project

Dataiku

It's hard to know where to start once you’ve decided that yes, you want to dive into the fascinating world of data and AI. Just looking at all the technologies you have to understand and all the tools you’re supposed to master is enough to make your dizzy.

Waterfall to Agile: A Necessary Mindset Shift For Business Analysts

BA Learnings

I tend to describe the agile approach as a way of working; A targeted way of working that allows us to make changes, respond to customers’ needs and manage uncertainty with minimal delays, and without needing to wade through “red tape”.

More Trending

Descriptive Statistics and Data Visualization

TDAN

Turn Your Statistics Into Something More Interesting Data is quickly becoming a defining thing in the business world. It is the lifeblood of every company decision and thus, it defines what companies do.

Why are so many businesses still doing a poor job of managing data in 2019?

Peter James Thomas

I was asked the question appearing in the title of this short article recently and penned a reply, which I thought merited sharing with a wider audience.

Business Intelligence vs. Automated Reporting: Which Do You Need?

Sisense

Both automated reporting and business intelligence can help businesses perform better but in different ways. With automated reporting, organizations can simply produce reports faster and with less effort from business data without further analysis.

A Data Science Leader’s Guide to Managing Stakeholders

Analytics Vidhya

Overview Managing the various stakeholders in a data science project is a must-have aspect for a leader Delivering an end-to-end data science project is. The post A Data Science Leader’s Guide to Managing Stakeholders appeared first on Analytics Vidhya. Career Data Science data science data science leaders data science projects data science stakeholders managing data science

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate.

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4 Trends Defining the Future of DataOps

Tamr

As the challenges associated with Big Data continue to increase along with enterprises’ demands for easily accessible, unified data, what does the future of DataOps look like? I’ve outlined four important trends you should expect to see: 1. The need for smart, automated data analysis.

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AI and the Future of Business Intelligence

DataFloq

From its presence in our daily apps to larger business applications, AI impacts our everyday lives in varying degrees — even if we’re not always aware of it. In the field of business intelligence, however, AI has a more visible impact.

4 Data Goldmines Your Company Should Not Ignore

Smart Data Collective

In an earlier age, perhaps as little as a decade ago, businesses had to rely on intuition and educated guesses to guide their spending.

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy.

The Power of Integrated Data and Analytics

Teradata

Integrated data and analytics has a proven track record of helping organize operations, enhance customer experience and improve revenue and market growth

5 Questions you should be asking your data analysts.

Data Insight

What happens if we run that campaign? Who’s going to be affected if we make this change? How do we know what good looks like? Data can be a valuable asset, helping drive business effectiveness and decision-making.

Predictive Analytics in Finance Can Accelerate Data-Driven Enterprise Transformation

Cloudera

Fintech for financial services is far-reaching. A deep pool of vendors, solutions and technologies promises to help with nearly any pain point, but while many of these offerings work well on their own, they often don’t integrate with other systems.

Using Business Intelligence in Demand Forecasting

Jet Global

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line.

The North Star Playbook

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

11 Superb Data Science Videos Every Data Scientist Must Watch

Analytics Vidhya

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural. The post 11 Superb Data Science Videos Every Data Scientist Must Watch appeared first on Analytics Vidhya.

Strategy, Leadership, Culture & Innovation: Interview with Cary Correia, GE USA: Part 1

Corinium

Drawing on over 30 years of experience, we caught up with our international keynote, Cary Correia, Chief Commercial Data Scientist, GE USA to share some golden nuggets on how to truly achieve a data-driven culture and become an intelligent enterprise.

14 Dashboard Design Principles & Best Practices To Enhance Your Data Analysis

datapine

The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses.

How to determine who owes you money

Phocas

The ability to determine how much outstanding money is owed to your company is vital to the ongoing management and sometimes survival of a business.

How to Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

Are You Ready for a Smart Hospitality Industry?

DataFloq

The hospitality industry is all about delivering the best guest experience. Whether this is in the local restaurant around the corner, the five-star beach resort that you visit during your holiday or the conference venue where you attend an event.

More datasets for teaching data science: The expanded dslabs package

Simply Statistics

Introduction. We have expanded the dslabs package , which we previously introduced as a package containing realistic, interesting and approachable datasets that can be used in introductory data science courses.

Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)

Analytics Vidhya

Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya.

Shifting towards a more customer focused culture

Corinium

What is the biggest challenge you face within your role today and how are you looking to tackle it? I think a challenge faced by many more traditional organisations (including our own) is how to put a financial value on Customer Experience.

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Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

Top 18 Social Media KPIs & Metrics You Should Use For A Complete SM Strategy

datapine

In a hyper-connected digital world driven by data, there has never been a better time for businesses to gather meaningful insights on their target prospects, in addition to measuring ongoing levels of commercial growth and performance.

Phocas teams up with Acumatica Cloud ERP to integrate solutions

Phocas

Phocas has a new partnership with Acumatica, provider of an award-winning cloud-based ERP system, that will extend our data analytics solution to Acumatica customers globally. The new deal helps Acumatica customers turn raw data into insights. Company Updates

Machine learning: Changing the Beauty Industry

DataFloq

Several years ago a friend of mine, who was a biologist, was talking about their weird experiments. They were shaving mice and if this was done this in a particular way, the mice remained bald for the rest of their short lives.

Big Data, Machine Learning and Alteryx Inspires 2019

David Menninger's Analyst Perspectives

Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month.

B2B Pocket Playbook: End-to-End Guide to Sales Enablement

Sales enablement is the strategic process of providing sales teams with the content, guidance, and mentorship needed to engage targeted buyers. It’s all about equipping sales professionals with the tools they need to put their best-selling foot forward. And if sales teams want to continuously sell better -- and faster -- their sales enablement process must have a game-winning strategy. It's time for you to start selling smarter - and hitting your sales number - with the best B2B database in the market. Get started today.