AND SKILLS YOU NEED TO
TRANSFORM DATA INTO
In 2018, the average salary dropped for the first time since 2015, but nearly all individual employees saw their salaries rise from the previous year. Read more in the 2019 TDWI Salary, Roles, and Responsibilities Report.
This TDWI Insight Accelerator focuses on customer analytics practices and how organizations must adapt them to increasingly stringent requirements for getting customer and consumer consent.
Although the traditional on-premises reporting and analytics platforms have served organizations well over the past few decades, key stakeholders have begun to recognize the need to adjust to a demand for automated decision support systems that
are more agile, more scalable, and support a wider variety of data types and speeds.
This report describes the five key technical architectural requirements that any platform for data warehouse modernization must satisfy.
This checklist report focuses on six strategic issues that set the stage for greater speed, confidence, and quality in data-driven decision making.
October 14 - 16, 2019
Machine Learning in R Bootcamp
September 17, 2019
Drive Business Outcomes with a Comprehensive Enterprise Data Strategy
Learn what a modern OpDW is and does, technologies and practices that can modernize it (including in-memory execution and distributed and cloud-based data management), and how and why the best OpDWs provide high performance for both operations and analytics workloads.
Organizations are investing in model development but often overlook operationalizing models, which can cause projects to fail. Join us to learn why operationalizing analytics is so critical, who performs it, and what steps your organization can take to unlock the value of your analytical models.
This TDWI Best Practices Report explains in detail what cloud data management (CDM) is and does so data professionals and their business counterparts can understand what CDM can do for them and how they might organize a successful program.
Despite enterprises' attempts to adjust to a rapidly changing business landscape, many of yesterday’s problems remain front and center. What worked in the past is often outdated today. In this issue, we focus on modern-day solutions for age-old problems, from staffing and executive support to teamwork and skills development.
This issue of the Business Intelligence Journal looks at a variety of ways that speed—speed of response through data sampling, speed of design through agile data governance, and more—can contribute to the health and welfare of your enterprise.
Plan for the future of data and analytics and head to Orlando for a week of sunshine in November. This conference features forward-thinking trends in the industry with hands-on training in data lakes, multi-platform data architecture, self-service analytics, and data virtualization.
The TDWI Orlando Strategy Summit for Data Management offers leaders, Chief Data Officers, directors, and executives the chance to discuss strategies for managing big data and data management programs. Learn what’s new and what’s next for data, attend a workshop, and plan your data strategy for the year with seasoned professionals at this two-day event.
Boston / Virtual Classroom This seminar delivers a balanced approach to understanding enterprise analytics capability needs for BI, self-service data analytics, and data science and machine learning in order to understand the roles for data technologies. Attend in Boston or online in the virtual classroom!
Chicago / Virtual Classroom Learn the foundations for a successful BI and analytics framework, accelerate your time to insight, and improve your performance management skills with an engaging, high-impact learning experience at the BI & Analytics Reporting Essentials seminar. Attend in Chicago or online in the virtual classroom!
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"I really appreciate the technology-agnostic approach so that every course is oriented around industry best practices, regardless of any software platform."
"The information and vendors far exceeded other conferences I have been to in the past."
"It gave me a jump start on learning new skills that it would have taken a lot more time to learn on my own."
"This is the third time I’ve attended the conference, I always learn something new which will benefit my organisation. Having top trainers and best topics always keep TDWI on top."
"The longer classroom style sessions allowed for more in-depth learning and were more applicable to items specific to my business."
"The leadership event was very valuable as this provided the opportunity to network with fellow leaders and learn about Analytics trends."
"I had definite actionable items from each event that I could take home with me."
"I feel like I received a semester's worth of content in 4 days, very useful for my position and organization."
"I'm new to the data science field and felt like this conference was the perfect way to start. I got a great general overview with the bootcamp, then some hands on Python experience."
"It was a great opportunity to listen to the lectures delivered by experts in the technology industry and more importantly have an opportunity to ask and get their view on an approach to solve a problem. Also a great opportunity to meet an network with peers working in the same technical field but an entirely different domain."
"Put us on the right track for starting a data science team and producing worthwhile results with our first data science project."
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