METHODOLOGIES & STRATEGIES

The processes and approaches to deliver business value through data and analytics. Includes a strong focus on leadership strategies and organizational management to maximize data management and analytics impact.

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  • Empowering the Citizen Analyst: Agile Techniques for Enhancing Self-Service Analytics and Data Science

    In this webinar we will explore how combining modern approaches to utility computing, data access services, and automated data warehouse generation can simplify the production of reporting/analytics platforms that are specially designed to meet the consumers’ needs without forcing the request to go through the IT bottleneck. more

  • Modernizing Data Architecture With Streaming CDC

    In this webinar, we will discuss the market need for streaming CDC, how it differs from other techniques, and use cases and case studies. more

  • Improving Data Sharing Through Modernized Data Accessibility

    In this webinar, we will consider whether the challenges of easy data sharing are problems of our own creation, and then we will discuss modernizing data accessibility in ways that reduce the manual burden yet balance ease of use with appropriate levels of data protection. more

  • The Three Pillars of Data Governance: Compliance, Trust, and Transformation

    Motivating factors like compliance and trust inform practical transformation; at the same time, transformations enforce compliance and establish trust. In this webinar we discuss these different factors and how they inspire the creation of an extraordinary data governance program. more

  • Accelerating the Path to Value with Business Intelligence and Analytics: A TDWI Best Practices Research Report

    Organizations of all sizes are in competition to realize value from data – and to realize it faster. To do so, they increasingly need flexible and agile business intelligence(BI), analytics, and data infrastructure, not systems that take too long to develop and do not give users the dynamic, iterative, and interactive access to data that they need. Fortunately, technology developments are trending in a positive direction for organizations seeking to accelerate their path to value with BI, analytics, and the critical supporting data infrastructure. These include self-service BI and visual analytics, self-service data preparation, cloud computing and software as a service(SaaS), and new data integration technologies. more

  • Database Strategies for Modern BI and Analytics

    The data universe has changed. Big data, cloud computing, and open source have dramatically expanded the number of data warehousing offerings available to today’s businesses. An increasing number of companies are implementing self-service business intelligence (BI) and visual analytics tools to access and make sense of all of the new and diverse sources of data their teams are consuming. Data literacy is changing equally fast as an increasing number of “data consumers” want to interact with data on their own rather than through IT. more

  • Rethinking Enterprise BI in a Self-Service World: Balancing User Freedom with Enterprise IT Responsibilities

    Both product and tech leaders have always recognized that business intelligence (BI) is most valuable when it is pervasive, contextual, and actionable. A new generation of solutions -- embedded BI – provides unprecedented power to weave reporting and analytics into the fabric of apps and business processes. more

  • Dynamic Metadata: Enabling Modern BI Architecture

    In a highly competitive market, today’s forward-looking organizations are seeking to optimize and modernize their IT investments, specifically in enterprise business intelligence (BI). There’s a strong push to capitalize on newer features such as self-service BI, advanced analytics, and customized visualizations—all of which relinquish the centralized data governance necessary for corporate and regulatory compliance. more

  • Big Data Management Best Practices for Data Lakes

    Organizations are pursuing data lakes in a fury. Organizations in many industries are attempting to deploydata lakes for a variety of purposes, including the persistence of raw detailed source data, data landing and staging, continuous ingestion, archiving analytic data, broad exploration of data, data prep, the capture of big data, and the augmentation of data warehouse environments. These general design patterns are being applied to industry and departmental domain specific solutions, namely marketing data lakes, sales performance data lakes, healthcare data lakes, and financial fraud data lakes. more

  • Making Data Preparation Faster, Easier, and Smarter

    Business users, business analysts, and data scientists have diverse data needs and specialties, but they all have one thing in common: they are tired of long, complicated, and tedious data preparation. Unfortunately, data preparation is getting even more difficult as users doing analytics and data discovery reach out to larger volumes of different types of data. more

  • The What, Why, When, and How of Data Warehouse Modernization

    Despite their ongoing evolution, data warehouses (DWs) are more relevant than ever as they support operationalized analytics and wring business value from machine data and other new forms of big data. In the age of big data analytics, it’s important to modernize a DW environment to keep it competitive and aligned with business goals. more

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    Upcoming TDWI Events

    Conferences, Leadership Summits, Seminars, and Bootcamps

    • Conference - TDWI Orlando Conference

      November 11-16, 2018
      Save 20% through September 21

      Look into the future of big data and analytics and end the year strong with TDWI Orlando. An annual fan-favorite, this event presents big data trends, data management at scale, and predictive analytics education so you can implement what’s new and what’s next in the industry.

    • Leadership Summit TDWI Orlando Leadership Summit TDWI Leadership Summit Orlando

      November 12-13, 2018
      Save 20% through September 21

      An interactive summit for business, IT, and analytics leaders who select and implement emerging technologies to solve new challenges and align with new business opportunities. Register and participate in engaging sessions, network with your peers and learn best practices from the leaders of the data revolution.