Sat.Apr 20, 2019 - Fri.Apr 26, 2019

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Rolling out an enterprise-wide data management program

Corinium

Ahead of the third Chief Data & Analytics Officer (CDAO) Singapore conference, we caught up with Melecio Valerio Jr, Head, Data Strategy and Governance at FWD Life Insurance to discuss the key strategies for managing massive volumes of data, the cornerstones for building a data driven enterprise as well as how to best roll out an enterprise-wide data management program.

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Demystifying Automated Analytics, AI in BI and AutoML

DataRobot Blog

by Jen Underwood. So many buzzwords, so much confusion. Automated analytics, artificial intelligence (AI)-driven BI, and automated machine learning (AutoML), aren’t these terms describing the exact same thing? NO. Although these technologies may. Read More.

Analytics 111
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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.

Analytics 306
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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. As companies integrate machine learning into their products and systems, there are important foundational technologies that come into play.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Everything You Need To Know To Get Started With Helpdesk KPIs

datapine

In today’s business world, competition is fierce across all industries and sectors, which means that to survive and thrive, working with measurable online data analysis and performance metrics is essential. Studies suggest that by 2020, customer experience (CX) will be the main brand differentiator (according to a research conducted by the customer experience consultant company Walker), surpassing factors such as price and product in terms of importance to today’s digitally native consumers.

KPI 169
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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Can you tell me a bit more about your role at Protegrity? I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

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How Do Business Analysts Fit Into Agile Projects?

BA Learnings

Though the Agile Methodology is used heavily in software development domains, it has since spread into different sectors. With Agile comes a growing emphasis on equipping the development team, e.g. your software developers, content writers, engineers, designers, etc, with the information, tools, and direction they need to produce a tangible output within a fixed period of time, that is, sprints of typically 2 weeks.

Software 113
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Stablecoins: Solving the cryptocurrency volatility crisis

O'Reilly on Data

Resolving the volatility problem will unlock the groundwork needed for blockchain-based global payment systems. For cryptocurrency enthusiasts, the long game of blockchain ecosystems is to create open platforms controlled by no single authority, inviting open participation from anyone. This, of course, is in an effort to move forward the culture of open source, from static code branches sitting in source trees to living and evolving useful systems ready for live interaction, still egalitarian an

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Unlocking Data Value under Changing Regulations like GDPR, CCPA

Corinium

Data privacy laws around the world are changing and the new laws have teeth. They recognize the rights of consumers to own and control their own data. And they hold enterprises unequivocally accountable for protecting personal data, thus creating a huge burden of compliance. Are you responsible for data innovations or data decisions at your company?

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DataHack Radio #22: Exploring Computer Vision and Data Engineering with Dat Tran

Analytics Vidhya

Introduction How do computer vision techniques work in an industry setting? How does an organization use data engineering to scale up its operations? These. The post DataHack Radio #22: Exploring Computer Vision and Data Engineering with Dat Tran appeared first on Analytics Vidhya.

Analytics 225
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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8 Ways to Fine-tune your SQL Queries (for production databases)

Sisense

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. When querying a production database, optimization is key. An inefficient query may pose a burden on the production database’s resources, and cause slow performance or loss of service for other users if the query contains errors.

Sales 111
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GoLang for Data Science

Data Science 101

While it is not one of the popular programming languages for data science, The Go Programming Language (aka Golang) has surfaced for me a few times in the past few years as an option for data science. I decided to do some searching and find some conclusions about whether golang is a good choice for data science. Popularity of Go and Data Science. As the following figure from Google Trends demonstrates, golang and data science became trendy topics at about the same time and grew at a similar rate

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How Our Hotel Chain Uses Data to Find Problems and Humans to Fix Them

Corinium

At Dorchester Collection of ultra-luxury hotels, we use big data and analytics to help us improve our guest o?erings and marketing. Our tool, Metis, analyzes data from online reviews and social media to uncover problems and opportunities. But, as the Dorchester Collection’s director of global guest experience and innovation, I’ve discovered that often the data can only tell you where there’s a problem, not why it exists, or how to ?

Big Data 150
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How to Present Data to a Non-Technical Audience

Smart Data Collective

. When you’re presenting data analytics or any technical information to a non-technical audience, it can be difficult. You have to think about the components of a good presentation in general, but also how to simplify complex subjects and information and make them resonate with your target audience. If you’re someone who understands data analytics well or is highly technical, it can be especially challenging to know how to make your presentation work for the needs of an audience which is differ

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Marketing Operations in 2025: A New Framework for Success

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.

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Enterprise Architecture and Business Process: Common Goals Require Common Tools

erwin

For decades now, the professional world has put a great deal of energy into discussing the gulf that exists between business and IT teams within organizations. They speak different languages, it’s been said, and work toward different goals. Technology plans don’t seem to account for the reality of the business, and business plans don’t account for the capabilities of the technology.

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Finding Azure Updates

Data Science 101

Microsoft Azure has an abundance of data science capabilities (and non-data science capabilities). It can be challenging to keep up with the latest updates/releases. Luckily, Azure has a page to let you know exactly what has changed. You just need to know where to find it, and the following video will help you find that page. Also, if you are still interested in earning a Microsoft Data Science Certification , join the Study Group.

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The Biggest Challenges Being Faced by the CCO

Corinium

After a number of weeks speaking to experts from differing customer roles, from a variety of company sizes, some key themes have emerged.

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Invest In Analytics To Improve Your Production Line

Smart Data Collective

Manufacturing is a more powerful and essential part of our industries and economies than ever. But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data. If you represent a manufacturing concern and you’re wondering about the benefits of capturing and analyzing operational data , you’ve come to the right place.

Analytics 101
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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3 Ways New As-a-Service Offerings Bring Choice and Flexibility to Teradata Vantage

Teradata

At Teradata, we think a lot about our customers in the cloud, and continue on our promise to deliver choice and flexibility by adding new as-a-service options for Teradata Vantage.

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Top 13 Data Science Resources for Analysts

Dataiku

Analysts are eager to dive into new challenges, but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we assembled a set of free resources for analysts to activate their data science and machine learning expertise.

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AI everywhere: Modern predictive analytics

IBM Big Data Hub

Evolving from departmental, small-group AI projects to an enterprise data science platform can put your business on a path to significant competitive advantage. Those who don’t seize the opportunity risk falling behind the curve. But some might not be sure how to begin. If you’re interested in learning how to get going, our publication, A business guide to modern predictive analytics, is great place to start.

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Experts Reveal Data Science Behind Five Popular Android Apps

Smart Data Collective

Big data is playing a massive role in the formation of new technologies. New developments in data science have contributed to the release of a number of popular Android apps on the market. To the average Android user, big data is an invisible factor. However, it is the foundation of almost every app on their phone. It is important to evaluate its significance.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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Turn Up the Signal; Turn Off the Noise

Perceptual Edge

To thoroughly, accurately, and clearly inform, we must identify the intended signal and then boost it while eliminating as much noise as possible. This certainly applies to data visualization, which unfortunately lends itself to a great deal of noise if we’re not careful and skilled. The signal in a stream of content is the intended message, the information we want people to understand.

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Announcing DataRobot tools V4.0 for Alteryx

DataRobot

We’re happy to announce the new V4 release of our popular DataRobot tools for Alteryx. We’ve taken the feedback from hundreds of customers and partners to incorporate even more robust functionality into the connectors.

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Tackle customer churn with SPSS Modeler

IBM Big Data Hub

It's well-established that customer retention is much less expensive than customer acquisition. Therefore, preventing churn is a priority for nearly every company. A vital part of a viable strategy for preventing churn is the effective use of data. Let’s look at the role predictive analytics can play in that strategy.

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Big Data Gives Us New Insights Into Influencer Reach

Smart Data Collective

Influencers are rapidly transforming the digital marketing landscape. Nearly two out of five plan to increase their influencer marketing budgets substantially in the coming year. Only 7% of respondents in a recent poll spent less than $10,000 on influencer marketing. However, many brands are still struggling to cultivate their ideal influencer marketing strategy.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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Data, Databases and Deeds: A SPARQL Query to the Rescue

Ontotext

Deep and rich search results are paramount for thorough and accurate analysis across enterprise information systems. In this article you will read why and how SPARQL queries make for a better search and are of immense help when it comes to accessing all the independently designed and maintained datasets across an organization (and outside it) in an integrated way.

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What’s New in the Jet 20.0 Spring Release

Jet Global

Spring has officially sprung! And you know what that means…a new Jet Global product release! We will be rolling out the official Jet 20.0 Release this April and want to tell you about some of the new features and benefits you can expect to see. At Jet Global, we are always trying to make our reporting, analytics, and data management solutions easier to use, more powerful, and better.

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Data Scientist Spotlight: Sergey Yurgenson

DataRobot

In this Data Scientist Spotlight, you’re going to meet Sergey Yurgenson , the Director of Advanced Data Science Services at DataRobot. Sergey is a Kaggle Grandmaster who was named one of the top ten Kaggle data scientists in 2012. He has been with DataRobot since the early days and has a lot of insight and experience to share.

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Here’s How Big Data And Business Card Marketing Go Together

Smart Data Collective

Many people believe that digital media is rapidly replacing traditional forms of branding. They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. Nothing could be further from the truth. We previously published an article on the state of direct mail marketing. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.