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.
Get in-demand skills for the hottest job in analytics: Data Scientist. A 4-module intensive course covers everything from sourcing and prepping data to communicating business insights.
A full course overview of analytics, from foundational principles to how and why to implement.
Interest in agile BI is high, but adoption and success rates are lagging behind. The lag occurs primarily because agile methods that evolved for software development don’t necessarily fit the needs and complexities of BI projects.
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.
December 4 - 5, 2019
Enterprise Data Strategy Workshop
September 17, 2019
Drive Business Outcomes with a Comprehensive Enterprise Data Strategy
Join a panel of experts hosted by Philip Russom, TDWI’s lead analyst for data management, as they discuss data management’s most important trends, including evolving data volumes, structures, sources, interfaces, and latencies, new data platforms, cloud data management.
Join a panel of experts, moderated by Fern Halper, TDWI’s lead analyst for advanced analytics, as they discuss the hottest trends in analytics, including predictive analytics/machine learning/NLP/AI, augmented intelligence, DataOps, and evolving data infrastructures to support analytics.
Organizations are using IoT for a range of use cases, from sensing air quality to autonomous vehicles, designing factories of the future to disaster response. A recent TDWI survey sheds light on how enterprises are planning to use or currently using IoT, what challenges they face, and how often they need to visualize their ever-changing data from IoT sources.
No matter the vintage or sophistication of your organization’s data warehouse (DW), it probably needs to be modernized. This report provides a presentation of the many issues and categories of DW modernization, plus the strategies, methods, and enabling technologies that lead to success.
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.
Is your organization ready for IoT and IoT analytics? Take the Assessment
New discussion boards for TDWI members are now open. Join the conversation today!
The TDWI San Diego Strategy Summit for Analytics offers leaders, Chief Analytics Officers, directors, and executives the chance to discuss strategies for managing and implementing advanced analytics programs. Learn what’s new and what’s next for data science, AI, and ML, attend a workshop, and plan your analytics strategy for the year with seasoned professionals at this two-day event.
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.
San Francisco / Virtual Classroom This seminar covers a comprehensive set of best practices for dimensional modeling from business requirements through physical design. Attend in San Francisco or online in the virtual classroom!
Dallas / Virtual Classroom Learn the cornerstones of analytics, dive into the capabilities of predictive analytics, and gain essential skills for effectively communicating your findings through data visualization in this three-day seminar. Attend in Dallas 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 organization. Having top trainers and best topics always keeps 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 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 and 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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