Tue.May 14, 2019

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The Value of Co-Creation

Corinium

I spent 7 years working for one of the biggest commercial conference companies. It was led by an extremely astute CEO who actually started the business under Jack Welch and then broke away with it. So when he offered business advice it was time to listen, absorb and use.

IT 150
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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish

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10 Useful Data Analysis Expressions (DAX) Functions for Power BI Beginners

Analytics Vidhya

Introduction We have worked on plenty of drag-and-drop tools in our business intelligence (BI) journey. But none has come close to matching the Swiss. The post 10 Useful Data Analysis Expressions (DAX) Functions for Power BI Beginners appeared first on Analytics Vidhya.

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Here’s Why DevOps Is The New Agile In 2019, And Why It Matters

Smart Data Collective

In the early days of software development , projects were developed sequentially in a series of steps which was called “The Waterfall Model.” It was called the waterfall because once you got past a step, you couldn’t climb back up. Here is a typical waterfall model for software development : Requirements. Design. Implementation. Verification. Maintenance.

IT 87
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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5 Myths You Have Been Told About Industrial AI

Teradata

Cheryl Wiebe explains why AI for industrial use cases is a more complicated road than it appears.

IT 103
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DataRobot Named Qlik Global Technology Partner of the Year

DataRobot

DataRobot was honored to be named the 2019 Global Technology Partner of the Year by Qlik at their annual customer and partner event, Qonnections 2019. The awards ceremony recognizes the Qlik partner community for excellence in several different categories, both on a global scale and within regions, and celebrates outstanding achievement and innovation for joint customer success.

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Predictive Analytics Use Case: Demand Planning!

Smarten

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. In order to predict and forecast and assure product or service availability, the business must also look at the dependability of suppliers, shipping and the purchasing of parts that make up the products.

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Been there, automated that – Enghouse Interactive reimagines call center automation

IBM Big Data Hub

Learn how Enghouse Interactive partnered with the IBM Data Science and AI Elite to uphold human contact in the call center.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to May 12)

Andrew White

Click here for an interactive PDF to connect to the research directly. This list excludes our branded research such as Magic Quadrants etc.

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Predictive Analytics Use Case: Product and Service Cross-Selling and Upselling!

Smarten

If you want to make the most of your product and service portfolio, you must look for opportunities to cross-sell and upsell your clients and to bundle services to attract new clients. With the right information, business managers can leverage customer satisfaction to cross-sell and upsell products and services, and to increase revenue and brand loyalty.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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To Own or Not to Own Data

TDAN

To own data or not to own data, that is the question. This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations. To the disgust of some (there are some that choke every time the term “data owner” is used) using the […].

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Predictive Analytics Use Case: Quality Control!

Smarten

It is easy to understand the importance of producing quality products and services and the impact of poor quality on business reputation. If your business does not have adequate quality controls in place, it will lose market share and may even expose the enterprise and its team to legal liability. Anticipating quality issues and monitoring and managing quality is crucial to business success.

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Understanding Data-Driven Marketing

TDAN

Just 10-15 years ago, all marketing was based on the stereotype that girls love pink and boys love blue. Now everything has changed. Brand promotion is the task of high technology and the correct application of mathematics. Marketology received such omnipotence tools like the Internet and Digital, social and mobile networks, automation and analytics – […].

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Birst 7: A new level of ease of use and collaboration across centralized and decentralized analytic teams

Birst BI

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business. This is why it is all too common for an organization to utilize at least two different Business Intelligence (BI) tools to support these different analytic needs.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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DAMA International Community Corner: Announcements & New Chapters

TDAN

Welcome to DAMA Corner, a source of information for data management professionals here in TDAN.com, an industry-leading publication for people interested in learning about data administration, data management disciplines, and best practices. Each column provides an update on the professional organization DAMA International, and an opportunity to share your experience with other professionals that are passionate about data!

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Sisense & Periscope Data: A Merger Made in Data Heaven

Sisense

I am incredibly proud and excited that Periscope Data is combining forces with Sisense in a merger that makes it possible to deliver the premier end-to-end BI and analytics platform that is unmatched in the industry. The deal gives us critical mass with over $100M in annual revenue with a global team of 700 exceptional data and analytics experts. Before I go any further, I have to give a big hats-off to the co-founders of Periscope Data, Harry Glaser and Tom O’Neill, for having the foresight to

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Critical IT and Business Issues to Consider

TDAN

The world is never static. Change is constant. It’s astonishing how much everyday life has changed over the last 30 years. The business and technology environment has transformed spectacularly. This is only set to continue through 2019 and beyond. A combination of intense business competition, evolving customer demands, new technologies, and the dynamics of the […].

IT 40
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Microservices as Enterprise Software’s Future

TDAN

Whether finding a plumber or somewhere to eat lunch, the first thing we do is go online. In the modern world, it’s almost essential that a business has a digital presence, and not only that— it’s critical that this presence isn’t stagnant. The world is rapidly moving, with customers’ needs developing by the second. Your […].

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Tales & Tips from the Trenches: Help the Fed Use Data as an Asset

TDAN

The President’s Management Agenda (PMA) lays out a long-term vision for modernizing the Federal Government. Cross-Agency Priority (CAP) Goal #2 is “leverage data as a strategic asset to grow the economy, increase the effectiveness of the Federal Government, facilitate oversight, and promote transparency.” The administration is building upon prior efforts such as data.gov (which focused […].