O'Reilly on Data

SEPTEMBER 5, 2018

This collection of data governance resources will get you up to speed on the basics and best practices. Whether you’re just getting started with data governance or you have previous experience, you’ll find something useful on this list of data governance resources. The items on this list were curated by O’Reilly’s editorial experts. Continue reading Learn about data governance with these books, videos, and tutorials.

Data Governance 104

Data Governance 104

Juice Analytics

SEPTEMBER 5, 2018

Looking to transform your data into a valuable, customer-facing data product? From concept to design and launch, we've worked with dozens of companies to create successful data products. Our checklist provides seven evaluation criteria to see if your data product has what it takes to succeed. Does your data product. Solve a distinct problem? Meet users where they work?

IT 83

IT 83

Business Over Broadway

SEPTEMBER 5, 2018

The devastating impact of natural disasters can be measured in human suffering, loss of life and economic impact. It is estimated that 2.5 million people have been directly affected by natural disasters since 2000. Additionally, natural disasters have had an economic impact of $1.3 trillion since 2003. Even though natural events such as floods, earthquakes or hurricanes are inevitable, I believe that their impact can be mitigated through the application of data and analytics.

Data Science 57

Data Science Statistics Advertising Deep Learning 57

Cloudera

SEPTEMBER 7, 2018

The worst thing about an inside job is that once it’s detected, it’s usually too late. Early detection is critical to prevent considerable damage arising out of insider threats to the business. But that’s easier said than done! Whether it’s a rogue trader in a bank or brokerage or someone illegally sharing company intellectual property or intelligence, illegal insider actions put enterprises at risk of losing millions.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

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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

IBM Big Data Hub

SEPTEMBER 6, 2018

Imagine a searchable data management system that would enable you to review crowdsourced, categorized and classified data. Consider that this system would apply to all types of data — structured and unstructured — and become more robust as more users analyze it.

Data Lake 49

Data Lake Management IT 49

Paul Turley

SEPTEMBER 1, 2018

I’m managing an Agile team project using Microsoft Teams – the new project management platform integrated with Office 365. Teams is a simple and useful project management tool but it’s new and light on features. Using Power BI, we want to show the hourly task burn-down for each two-week sprint.

Management 40

Management 40

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. First of all, in order to effectively pull together an end-to-end architecture for IoT, organizations must manage multiple vendor solutions, validate that they work together, integrate them to ensure the right functionality, and provide for future enhancement compatibility.

IoT 47

IoT Machine Learning Internet of Things Cost-Benefit 47

IBM Big Data Hub

SEPTEMBER 6, 2018

In developing and improving Db2 on Cloud, we have been laser focused on providing the simplest, most convenient experience possible for users, and it’s heartening to see that those efforts are paying off.

43

43

Cloudera

SEPTEMBER 4, 2018

The General Data Protection Regulation (GDPR), in force since May 25, strengthens and unifies data protection laws for individuals within the European Union (EU), making personal data privacy a fundamental right for all. Traditionally, while companies have relied on time-consuming manual processes to achieve compliance, Accenture and Cloudera are harnessing advances in technology to simplify the compliance.

Metadata 45

Metadata Digital Transformation Machine Learning Enterprise 45

IBM Big Data Hub

SEPTEMBER 5, 2018

In the coming weeks, you have three great opportunities — two in the U.S., one in Europe — to network with your industry peers as you meet and learn from IBMers who are reinventing analytics for organizations large and small.

Analytics 43

Analytics 43

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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

Cloudera

SEPTEMBER 6, 2018

This is the third installment in a 3 part series. The first installment provides a short background on anti-money laundering. The second installment examines common AML problems faced by financial institutions today. In this installment, we introduce an approach that carries AML well into the future. Part III: The future is now. Given what we know about current anti-money laundering systems, if we wanted to build one from scratch today, we might come up with the following requirements.

Machine Learning 40

Machine Learning Big Data Risk Unstructured Data 40

Cloudera

SEPTEMBER 5, 2018

This is the second installment in a 3 part series. The first installment provides a short background on anti-money laundering. In this installment, we examine common AML problems faced by financial institutions today. The third installment introduces an approach that carries AML into the future. Part II: Current Challenges in AML. There are several key areas in the field of anti-money laundering (AML) that rely heavily on technology.

Machine Learning 40

Machine Learning Risk Cost-Benefit Big Data 40

IBM Big Data Hub

SEPTEMBER 6, 2018

Organizations across the globe are struggling to drive down operational costs while improving consumer engagement and improving profitability.

Analytics 46

Analytics 46

Nutanix

SEPTEMBER 5, 2018

Nutanix continues its journey to develop world-class software solutions that empower our customers to develop, run and scale any application in the cloud of their choice – public or private.

Software 20

Software IT 20

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

Cloudera

SEPTEMBER 4, 2018

This is the first installment in a 3 part series. It provides a short background on anti-money laundering for the layperson. AML professionals may wish to skip this installment and go directly to the second and third parts. The second installment examines common AML problems faced by financial institutions today. The third installment introduces an approach that carries AML into the future.

Reporting 43

Reporting Finance Sales Marketing 43