December 20, 2019
This TDWI Best Practices Report examines where organizations are facing barriers to getting relevant data into the right condition for analytics, for developing artificial intelligence (AI) programs, and for delivery to users who need insights in time to solve business problems.
December 13, 2019
This TDWI Checklist report drills into the business and technical requirements for preparing data for machine learning and related practices in artificial intelligence and predictive analytics.
October 30, 2019
This TDWI Checklist Report examines best practices for the modern data warehouse and the modern analytics stack.
October 30, 2019
This TDWI Checklist Report drills into the business and technical requirements of the modern DW.
September 30, 2019
This checklist provides guidance to the information professional who needs to justify a cloud migration initiative.
September 30, 2019
This TDWI Pulse Report focuses on operationalizing analytics models in order to help organizations take action and gain value.
September 25, 2019
This TDWI Best Practices Report examines how organizations using AI are making it work. It looks at how those exploring the technology are planning to implement it. Finally, it offers recommendations and best practices for successfully implementing AI in organizations.
September 12, 2019
This TDWI Checklist discusses why data virtualization is relevant to the challenges of hybrid, multicloud environments.
August 30, 2019
This report drills into four critical success factors for the modernization of the data warehouse.
June 24, 2019
This checklist report focuses on six strategic issues that set the stage for greater speed, confidence, and quality in data-driven decision making.
June 20, 2019
To successfully navigate the transition from an on-premises data warehousing solution to one that may span a multicloud hybrid environment, you need a solid plan for ingesting and integrating data for your migrated, modernized cloud-based data warehouse. In this checklist we will examine some of the challenges of data ingestion and integration for cloud-based data warehouses.
June 14, 2019
Businesses are using cloud compute and storage services for application development, quality assurance, and analytics for a number of key reasons. This report focuses on best practices for organizations managing data in hybrid cloud environments.
June 14, 2019
This TDWI Pulse Report discusses how some of these newer technologies—machine learning (ML), natural language processing (NLP), the Internet of Things (IoT), and blockchain—have the potential to help organizations innovate and digitally transform. It discusses the trends and highlights activities and uses. It also includes best practices for getting started.
May 31, 2019
This TDWI Checklist Report provides a step-by-step guide for adopting a hybrid integration platform.
May 27, 2019
This checklist can help you determine which workloads are best suited to migrate to the cloud.
May 24, 2019
This 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.
March 29, 2019
This TDWI Checklist Report drills into the business and technical requirements of the modern operational data warehouse with a focus on how satisfying these requirements enables modern data-driven business practices.
March 29, 2019
This TDWI Checklist offers six steps for data preparation processes and solutions that can help accelerate cloud data lake adoption.
March 29, 2019
This TDWI Checklist Report provides suggestions when considering modernizing your data warehouse in the cloud.
March 22, 2019
In this checklist, we delineate a number of challenges to data warehouse modernization and provide suggestions for addressing the underlying issues.
February 27, 2019
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.
January 14, 2019
In this checklist, we will examine best practices for data management that support ongoing compliance with a variety of regulations.
January 3, 2019
Any organization can become data-centric by taking advantage of some of the emerging trends discussed in this checklist. This report reviews some of the practices adopted by data-centric organizations and suggests ways to learn from their experiences.
January 3, 2019
This checklist focuses on how IoT data and analytics can be used to help drive the customer experience.
December 21, 2018
This TDWI Best Practices Report focuses on the emerging world of BI and analytics in the age of AI and big data. The research explores organizations’ satisfaction with current technologies and the issues driving interest in newer solutions that enable organizations to exploit advances in AI and big data.
December 20, 2018
This TDWI Checklist report drills down into the adjustments and optimizations in data quality practices required for big data.
December 14, 2018
This TDWI Checklist focuses on how organizations can develop strategies for improving operational intelligence, particularly by realizing value from IoT data.
December 14, 2018
This TDWI Checklist Report discusses three broad areas of best practices for helping to make machine learning, and those involved with it, successful.
December 10, 2018
In this checklist, we explore the concept of hybrid transaction/analytical processing (HTAP), an alternative architecture that enables analytics to be performed in concert with transaction processing. We will present best practices for taking advantage of this alternative architecture to enable real-time analytics.
December 7, 2018
In addition to automation using AI, next-generation data catalogs often contain new features such as crowdsourcing and collaboration. This TDWI Checklist describes five ways modern data catalogs drive business value.
October 31, 2018
Existing enterprise infrastructures are engineered in a way that complicates some types of data provisioning. In this checklist, we will consider the benefits of a platform-based approach to DataOps that addresses some of these complexities.
October 26, 2018
This TDWI Checklist Report discusses best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new types of data for analysis.
September 29, 2018
This TDWI checklist discusses six important issues that organizations should address to start big data projects off right and then manage them to achieve objectives faster and with less difficulty.
September 28, 2018
This TDWI checklist discusses six best practices for gaining greater value from AI for BI and self-service analytics. Our objective is to help organizations accomplish projects faster and provide relevant and accurate insights that users can trust.
September 17, 2018
This TDWI Checklist Report presents seven recommendations for successful data hub design and use. It should help you understand the new direction that the data hub has taken as well as what you should demand when evaluating products and deploying a modern data hub.
July 25, 2018
This Checklist Report discusses six areas that are critical to achieving high-value, business-driven analytics and the role data virtualization plays in realizing success in these areas.
June 29, 2018
This TDWI Pulse Report discusses some best practices for developing an IoT data strategy. It examines the organizational as well as the data and analytics aspects of such a strategy. This includes organizational alignment, understanding the unique nature of IoT, and other issues at play when managing and analyzing this “new” kind of data.
June 29, 2018
A number of newly mature trends are making cloud-based data integration platforms, technologies, and user best practices more relevant than ever.
June 12, 2018
It can be difficult to create an organization that thrives on data and analytics. This TDWI Checklist Report discusses best practices to build a program and an infrastructure for becoming data-driven.
May 18, 2018
Organizations dependent on big data for a wide range of business decisions need data quality management that can improve the data so it is fit for each desired purpose. This TDWI Checklist Report offers six strategies for improving big data quality.
May 8, 2018
Machine learning is being used today to solve well-bounded tasks such as classification and clustering. Note that a machine learning algorithm learns from so-called training data during development; it also learns continuously from real-world data during deployment so the algorithm can improve its model with experience. This report will drill into the data, tool, and platform requirements for machine learning with a focus on automating and optimizing ML's development environment, production systems, voracious appetite for data, and actionable output.
March 30, 2018
Users ignore the modernization of deep warehouse infrastructure at their peril. Without it, they may achieve complete, clean, and beautifully modeled data, but without the ability to scale to big data, iterate data models on the fly, enable flexible self-service access, operate continuously and in real-time (as warehouses must in global businesses), and handle new data types and workflows for advanced analytics.
March 30, 2018
The foundation of a successful IoT implementation is a technical architecture that blends network connectivity with an information architecture for streaming, ingesting, filtering, and capturing data. This checklist explores some fundamental aspects of the data architecture necessary for IoT success.
March 30, 2018
As organizations collect and analyze increasing amounts of data, they are turning to the data lake as the platform to perform more advanced analytics such as machine learning. This TDWI Checklist Report presents best practices for advanced analytics on a data lake.
March 29, 2018
This first in a new series of reports offers focused research and analysis of trending analytics, business intelligence, and
data management issues facing organizations. TDWI Pulse Reports are designed to educate technical and business professionals and aid them in developing strategies for improvement.
March 14, 2018
This past year saw BI salaries continue their steady rise. Read more in the 2018 TDWI Salary, Roles, and Responsibilities Report.
March 6, 2018
Businesses can only seize new data-driven opportunities if they recognize sensitive data and handle it responsibly. This report focuses on how targeted improvements to specific data management best practices and technology can contribute significantly to your success with GDPR compliance, as well as data governance and data-driven programs in general.
February 21, 2018
A lake or cloud can breathe new life into established enterprise data architectures (data warehouses, marketing channel data, digital supply chains) or create new and different ones (analytics labs and sandboxes, ecosystems of cloud-based operational applications). This report discusses the leading data management (DM) best practices you need for data lakes to be successful when deployed in the cloud.
February 1, 2018
Data products are not a new idea; data aggregators have been producing purchasable data sets for decades. However, as organizations have become motivated to be “data driven,” the concept of a “data product” has rapidly morphed into different shapes, including packaged data sets, lightweight API-based services, directly connected end-user visualizations, and full-blown access to hosted reporting and analytics dashboards.
December 22, 2017
This TDWI Checklist Report discusses the ways in which design thinking can produce more effective BI and analytics solutions and reduce user frustration with ineffective tools.
December 22, 2017
This TDWI Best Practices Report examines how organizations become data-driven, including patterns for building out infrastructure for managing data and driving analytics. It also examines the best practices of those organizations that are data-driven across three areas we believe are important: technology, analytics, and organization.
December 8, 2017
As the importance of self-service solutions for BI, analytics, and data preparation continues to grow, the emphasis is no longer only on centralized, full-time data professionals and their institutional knowledge. We also must find a way to support the business’ needs with better-documented data assets. For many organizations, this is a data catalog.
November 29, 2017
For organizations struggling to modernize their DM efforts, the intelligent integration hub provides a flexible and scalable foundation. This TDWI report examines the attributes and use cases of the intelligent integration hub.
November 14, 2017
This Checklist Report examines how seven industries are using analytics to drive value. These industries include finance, insurance, retail, healthcare,manufacturing, utilities, and technology/software/Internet.
November 10, 2017
When we design and develop data management solutions, one of the first and most important steps is to catalog the data that will be captured, managed, analyzed, and shared. This TDWI report will examine the many components and functions of a modern enterprise data cataloging facility.
November 1, 2017
Open source has become popular, especially for big data and data science, because it is a low-cost source community for innovation, which appeals to many data scientists and analytics application developers— especially those who like to code.This TDWI Checklist Report discusses some best practices for evaluating open source analytics.
September 28, 2017
This TDWI Best Practices Report explores the new opportunities for AI, machine learning, and natural language processing presented by innovations in computing power and algorithmic efficiency.
June 29, 2017
Predictive analytics is on the verge of widespread adoption. In this report, Fern Halper provides an overview of the state of the predictive analytics market, as well as an overview of the key product offerings helping organizations realize value from predictive analytics.
June 29, 2017
This TDWI Best Practices Report focuses on current experiences with realizing value from BI and analytics and how organizations can accelerate the path to higher value.
March 29, 2017
One of the more popular subjects in data modernization today is the addition of data lakes to many different ecosystems. This report defines data lake types and discusses emerging best practices, enabling technologies, and real-world use cases.
March 14, 2017
Average bonuses soared 19.8 percent in 2016, to $17,210. Read more in the 2017 TDWI Salary, Roles, and Responsibilities Report.
December 21, 2016
Big data and data science can provide a significant path to value for organizations. Download this report for organizations’ experiences with and plans for big data and data science including both technology plans and organizational strategies.
December 2, 2016
Now is the time for the telecommunications industry to devise a strategy for modernization of the data management environment in ways that streamline the end-to-end processes for ingesting, transforming, loading, reporting, delivering, and analyzing data. This Checklist Report describes a vision for the future that includes using an architecture that leverages a hybrid environment combining traditional enterprise data warehouse (EDW) techniques with the ability to deploy augmentation tactics on big data environments, such as those built using the Hadoop ecosystem.
December 1, 2016
Forward-looking businesses need discovery-oriented analytics, but discovery analytics tends to work best with large volumes of raw source data. The data lake enables analytics with big data and other diverse sources. This TDWI Checklist Report discusses many of the emerging best practices for data lakes.
November 10, 2016
User organizations facing new and future requirements for big data, analytics, and real-time operation need to start planning today for the data warehouse of the future. This Checklist Report drills into seven key recommendations for solution design, listing and discussing many of the new vendor and open source product types, functionality, and user best practices that will be common in the near future, along with the business case and technology strengths of each.
November 8, 2016
This Checklist Report drills into some of the emerging design patterns and platforms for data that modern data-driven organizations are embracing. The goal of the report is to accelerate users’ understanding of new design patterns and data platforms so they can choose and use the ones that best support the new data-driven goals of their organizations.
November 7, 2016
This checklist defines data security and data-centric security and discusses best practices and enabling technologies to help make data more secure.
November 3, 2016
This checklist will help you and your team plan and launch successful data lake projects with your legacy data sources. It reviews the critical success factors for these projects as well as the risks and issues to mitigate.
October 12, 2016
A data lake ingests data in its raw, original state, straight from data sources, with little or no cleansing, standardization, remodeling, or transformation. These and other data management best practices can then be applied flexibly as diverse use cases demand.
Most data lakes are built atop Hadoop, which enables a data lake to capture, process, and repurpose a wide range of data types and structures with linear scalability and high availability.
October 3, 2016
The cloud is becoming a mature platform for data management, integration, business intelligence (BI), and analytics. Download this report for an examination of organizations’ experiences with and plans for cloud BI and analytics, new cloud models, and what organizations should consider when moving to the cloud.
October 1, 2016
Big data presents significant business opportunities when leveraged properly, yet it also carries significant business and technology risks when it is poorly governed or managed.
July 21, 2016
This TDWI Checklist Report provides seven best practices for introducing, implementing, and leveraging streaming analytics as a component of an enterprise business intelligence and analytics architecture. These recommendations will help organizations understand where streaming analytics fits into their analytics frameworks and how it can be integrated with the complementary components of their organization’s analytics environment.
July 1, 2016
Business users want the power of analytics—but analytics can only be as good as the data. Download this report for an examination of experiences with data preparation, a discussion of goals and objectives, and a look at important technology trends reshaping data preparation processes. Learn how your organization can reduce the time it takes to prepare data and help users realize insights from data faster.
June 22, 2016
Most definitions of operational excellence assume that localized improvements have a global impact. In that spirit, this TDWI Checklist Report provides recommendations for incrementally and continuously improving the quality of operational data, which in turn contributes to an organization’s drive toward operational excellence.
June 1, 2016
This TDWI Checklist Report provides seven steps your organization can follow to apply a balanced governance strategy as you expand your use of self-service visual analytics and discovery.
May 31, 2016
This Checklist Report focuses on helping organizations understand and employ the necessary best practices for implementing the latest in visual analytics and discovery tools.
April 13, 2016
This Checklist explores eight ways to increase data agility with end-to-end data management tools.
March 22, 2016
No matter the vintage or sophistication of your organization’s data warehouse (DW), it probably needs to be modernized. Download this report for a presentation of the many issues and categories of DW modernization, plus the strategies, methods, and enabling technologies that lead to success.
March 14, 2016
The gender gap in wages saw a dramatic narrowing in 2015, as women’s average salary rose by 1 percent and men’s dropped by 4 percent. Read more in the 2016 TDWI Salary, Roles, and Responsibilities Report.
December 21, 2015
Download this report for recommendations and best practices for successfully operationalizing analytics in your organization to derive business value.
December 18, 2015
This Checklist discusses seven best practices for implementing data warehouse automation within an agile development framework.
December 9, 2015
This Checklist discusses seven key considerations to help organizations focus their evaluation and develop a strategy for gaining value from open source technologies to support faster, more powerful, and more flexible analytics.
December 2, 2015
This TDWI Checklist Report drills into seven recommendations and discusses many of the new vendor product types, their functionality, and user best practices that can contribute to data integration modernization. It also presents the business case and technology strengths of each recommendation.
November 4, 2015
To help the reader understand the ongoing evolution of data management—in response to new requirements around big data and analytics—this report provides a checklist of data management practice areas that are most affected. In addition, the report relates new practices to existing ones, indicating when to use which one.
November 2, 2015
This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.
October 9, 2015
This Checklist offers seven best practices for formulating a strategy to derive and deliver actionable customer intelligence. The practices are aimed at helping organizations turn their increasingly voluminous data riches into competitive business advantage.
October 1, 2015
Download this report to learn about the emerging technologies and methods (ETMs) that apply to business intelligence, analytics, and data warehousing. Discover how ETMs can support innovation in business processes, customer management, competitiveness, IT best practices, and the business leverage of data.
July 27, 2015
To help readers succeed in their cloud
data warehousing projects, this checklist identifies the benefits the
cloud offers, offers potential use cases, and presents key criteria for
using and choosing a cloud solution for data warehousing.
July 11, 2015
Download this report to examine how visual analytics fits with this and other important goals and trends that are enabling organizations to realize higher value from their data.
June 29, 2015
Our objective in this Checklist Report is to share best practices that will position the reader to take advantage of a cloud-based data warehousing solution.
May 15, 2015
To help user organizations prepare, this TDWI Checklist Report canvasses eight of the leading data warehouse modernization scenarios, discussing many of the new product types, functionality, and user best practices (as well as the business case and technology strengths) of each.
March 20, 2015
To help the reader select data-driven applications (DDAs) and prepare for their use, this Checklist Report drills down into their desirable characteristics, best practices, and use cases.
March 13, 2015
Average salaries rose 3.5 percent in 2014 for full-time U.S. BI professionals. Read more in the 2015 TDWI Salary, Roles, and Responsibilities Report.
January 21, 2015
To solve business problems, develop new products and services, and optimize processes, organizations increasingly need analytics insights produced by data science teams with a diverse set of technical skills and business knowledge who are also good communicators. This TDWI Checklist Report describes seven steps to achieve a successful data science strategy.
January 12, 2015
By reflecting on the trajectory of big data adoption, this TDWI Checklist Report examines how selecting the right components will guide your transition and integration strategy to realize a mature big data platform that can be integrated within a production information technology environment.
December 22, 2014
This Checklist Report defines broad and unlimited data exploration best practices, with an emphasis on the roles of SQL and Hadoop.
November 7, 2014
This checklist provides practical guidelines to nascent data storytellers. It describes some important principles of data and analysis—the supporting characters in a story—as well as some tips for making a story engaging.
September 29, 2014
This Checklist Report explores the leading business reasons for modernizing a data warehouse, plus the common technical measures taken today for data warehouse modernization.
September 22, 2014
Download this report to learn about the many available technologies and practices for real-time data, BI, and analytics, plus how they enable fast-paced business processes and yield a wide range of
organizational advantages.
August 18, 2014
Data blending isn’t simply a matter of throwing data together; issues like data quality still need to be addressed. This Checklist Report
focuses on helping organizations understand the steps and features that are part of data blending.