TDWI Webinar Series

I Can’t Believe I Ate the Whole Thing! Making BI More Consumable

Wed, 08 Aug 2012 07:00:00 GMT

Self-service BI is a very popular topic these days. It is beneficial to the IT staff developing the BI environment – they are freed up to do more value-added activities. It is quite useful for technologically savvy business analysts or data scientists – they could begin producing their own analytical results.

DIY BI and Analytics: Reaping Rewards and Avoiding Chaos with Self-Service BI

Wed, 25 Jul 2012 07:00:00 GMT

As the velocity of business increases, business users are less willing to wait for the IT department to create custom reports and analytics. Many users now expect to be able to interact with information and create their own views of data to address pressing business issues.

Big Data and Business Intelligence: How They Come Together

Tue, 24 Jul 2012 07:00:00 GMT

Big data is growing fast as organizations devote technology resources to tapping the terabytes (if not petabytes) of data flowing into their organizations and externally in social media data and other sources.

Managing the Mayhem of Mobile BI

Thu, 19 Jul 2012 07:00:00 GMT

Apple defined a new category of computing with the release of the Apple iPad. It also reinvigorated the BI market with sexy dashboards on every tablet. BI on mobile devices promises to make BI more immediate and accessible for executives and field workers alike.

Governing the Quality of Data in Real-time Across the Information Lifecycle

Tue, 17 Jul 2012 07:00:00 GMT

The diversity of data formats presents new challenges for gaining a complete and accurate view of information across the enterprise. Successful organizations are governing “big data” at the entry point (within an application, Web logs, documents etc.)

Leveraging Emerging Architectures to Harness Big Data for Business Value

Wed, 11 Jul 2012 07:00:00 GMT

At present there is significant industry attention around big data and big data analytics. At the same time, considerable confusion exists about what business applications can benefit from big data, as well as the technologies needed to deliver the promise.

Customer Analytics in the Age of Social Media

Tue, 10 Jul 2012 07:00:00 GMT

Customers today are more than just customers. Using social media networking, they influence others and reveal their buying interests in products and services. Organizations know that to compete effectively, they must capture as much information as they can about customers and analyze it effectively to discover patterns, trends, and other vital clues. Social media networking activity is generating big data – and these growing sources are the new frontier for customer intelligence.

Establishing a Data Quality Strategy

Wed, 27 Jun 2012 07:00:00 GMT

All companies – small, medium, and large – need quality information to support their operational activities and business intelligence environments. The desired level of quality doesn’t just happen. It requires recognition of data as an asset and a commitment by both business and IT areas to governing and managing its content and the processes handling it.

Turning BI Mavericks into BI Mavens – Bridging the Gap Between Business Analysts and IT

Tue, 26 Jun 2012 07:00:00 GMT

Most organizations have BI mavericks in their business ranks. These are the folks who use analytics a lot but are very frustrated with the BI environments provided by their IT counterparts. They never seem to have the data they want - or the way they want it - so they go rogue and acquire or build out their own solutions, ignoring the value that enterprise BI can provide.

Leveraging Business Metadata for Trusted Information in Data Warehousing and Business Analytics

Thu, 21 Jun 2012 07:00:00 GMT

The need for making quality decisions rapidly is powering the broader integration of business intelligence and algorithmic analytics into operational business processes across the enterprise, up and down the management chain.

How Data Governance Fosters the Evolution of Data Quality and MDM Initiatives

Wed, 20 Jun 2012 07:00:00 GMT

There are good reasons why data governance (DG) has become a critical success factor for a number of life-cycle stages within data quality (DQ) and master data management (MDM) initiatives.

Data Discovery Meets Search and Social

Tue, 19 Jun 2012 07:00:00 GMT

Data discovery is one of the hottest categories in the BI market today, allowing business users to explore data visually, with minimal IT support or extensive data modeling. As the variety of data explodes, decision-makers want to combine data from the data warehouse with unstructured content such as customer comments, resumes, tweets, and blogs.

Getting Started with Data Governance

Thu, 14 Jun 2012 07:00:00 GMT

At one end of the spectrum, many organizations initiate data governance programs because of pressing compliance issues that impact data usage. At the other end of the spectrum, some organizations begin by governing data that’s shared broadly through a variety of data integration and application integration technologies.

Myths and Mandates for Self-Service BI

Wed, 13 Jun 2012 07:00:00 GMT

Many companies have self-service BI as their vision for empowering users. But empowerment can come at the price of overwhelming business users accustomed to receiving only a fixed report.

Real Time Business Insight from Big Data

Tue, 12 Jun 2012 07:00:00 GMT

For those of us in IT and especially BI, there’s nothing more exciting than seeing practices and technologies come together in a new combination, to support enterprise business in a new way. At the moment, we are seeing such a confluence of practices and technologies for real time, analytics, big data, and in-memory processing.

Cool BI: 2012’s Emerging Innovations

Thu, 07 Jun 2012 07:00:00 GMT

The business intelligence tools market continues to bring innovations that have made BI more engaging and insightful to an increasingly broad spectrum of users. This Webinar briefly describes some of the hottest trends with an emphasis on in-memory, mobile BI, and social BI.

Pervasive Analytics – Building Analytics into Everyday Business Activities

Tue, 05 Jun 2012 07:00:00 GMT

Early adopters used business intelligence for operational reporting or analyses that guided strategic decision making, supporting senior managers but largely ignoring the hundreds, if not thousands, of decision-making opportunities presented each day.

Real-Time Monitoring of Events for Business Insight

Thu, 31 May 2012 07:00:00 GMT

Companies in every industry operate in relation to a continuous sequence of many events – products are manufactured, sales are made, inventory is tracked, or packages are shipped. While there is no need to be notified when events happen as planned, when anomalies occur (such as a snow storm that prevents delivery), the organizations that receive early notification have an advantage over those that do not.

Visual Discovery Beyond the Hype

Wed, 30 May 2012 07:00:00 GMT

A picture can paint a thousand numbers and broaden the appeal of BI tools. Specialty BI vendors are growing at a rapid pace and visual discovery has become a critical component of the BI platform.

Faster, Must Go Faster: The Need for Operational BI

Wed, 23 May 2012 07:00:00 GMT

Business intelligence (BI) applications are playing an ever increasing and important role in driving and optimizing daily business operations. This trend is leading to major changes in both the functionality and the usability of BI-related technologies and products

Data Analytics and Interactive Gaming - Opportunities to Influence Consumer Behavior

Tue, 22 May 2012 07:00:00 GMT

Tween interactive social world such as Club Penguin, Webkinz, Poptropica, and numerous others provide environments for children to play games, interact with each other, earn virtual money, and spend that virtual money on a variety of items.

Real-Time Data Integration: An Infrastructure That Enables Fast-Paced Business

Wed, 16 May 2012 07:00:00 GMT

According to TDWI’s Next Generation Data Integration survey, the types of data integration functionality that are seeing the hottest adoption and growth today are those forms that involve real-time operation.

EIM Competency: A Foundation for Success in the World of Big Data

Thu, 03 May 2012 07:00:00 GMT

In this presentation, we will examine how best practices in enterprise information management (EIM) support the foundation for success in the world of big data.

Real-Time and Big Data Challenge Data Management Best Practices

Tue, 01 May 2012 07:00:00 GMT

The incremental movement toward real-time operation is the most influential trend today in data-driven IT disciplines, such as business intelligence (BI), data warehousing (DW), and data integration (DI). From a technology viewpoint, collecting, processing, and delivering data is hard enough; doing it in real time is downright herculean.

Bridging the Gap Between Business and IT

Thu, 26 Apr 2012 07:00:00 GMT

Business-IT partnership is one of the most critical aspects to successful business intelligence solutions that are aligned with the goals of the business, and yet most companies continue to report painful disconnects between the business and IT.

BI in the Cloud: Blue Skies or Storms?

Wed, 25 Apr 2012 07:00:00 GMT

Business intelligence in the cloud was once a strategy for niche vendors. Now mega vendors and solution providers recommend cloud as a way of lowering your infrastructure costs.

Taking Data Integration to the Next Level: Techniques for Right-Time Data Delivery and Integration

Thu, 12 Apr 2012 07:00:00 GMT

Historically, the demands of independent business processes led to the development of applications with a focus on satisfying immediate functional or operational requirements.

Next Generation Master Data Management

Tue, 10 Apr 2012 07:00:00 GMT

Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. That’s because the consensus-driven definitions of business entities and the consistent application of them across an enterprise are critical success factors for important cross-functional business activities.

Big Data and Your Data Warehouse

Thu, 05 Apr 2012 07:00:00 GMT

Just a handful of years ago, Big Data was a problem in terms of scaling up IT systems and discovering the business value. Thanks to advances in vendor platforms and user practices, most enterprises today consider Big Data an opportunity – not a problem – because they can mine it and analyze it for valuable business insight.

What’s Cool in BI: An Inside Look at the Next TDWI Forum

Tue, 03 Apr 2012 07:00:00 GMT

Business intelligence unites data, technology, analytics, and human knowledge to optimize business decisions and drive enterprise success. With organizations seeking to democratize data access and sharpen every decision with information insights, BI has never been more important.

Mobile BI and Analytics: Seven Steps to Successful Deployment

Thu, 29 Mar 2012 07:00:00 GMT

Excitement is growing among business users about how mobile devices such as smartphones and tablets could transform the role of information in customer interactions, performance management, planning and forecasting, and daily operational decisions while on the go.

Operational Analytics: Empowering Business Analytics and Decisions in Motion

Tue, 27 Mar 2012 07:00:00 GMT

"Look after the pennies and the pounds will look after themselves." Operational analytics works the same way. Analyze what’s happening historically and in the moment for all the day-to-day activities of your business.

Is Your Approach to Modeling MDM Fixed or Flexible? How to Evaluate the Cost vs. Benefits of Prepackaged vs. Model-Driven MDM

Tue, 20 Mar 2012 07:00:00 GMT

Fundamentally, there are two different approaches to modeling MDM: prepackaged and business model driven. Each approach determines if the data model is fixed or flexible, Web services are pregenerated or dynamically generated, and user interfaces are predefined or user defined.

Making Sense of Big Data and Big Data Analytics

Thu, 15 Mar 2012 07:00:00 GMT

Big data challenges involve not only the task of harnessing and managing big volumes of data stemming from a host of traditional as well as new types of data, but also trying to meaningfully make sense of big data by leveraging analytics tools and applications that are best suited and optimized for big data volumes and workloads.

BI Solutions and Strategies for Midsize Companies

Tue, 13 Mar 2012 07:00:00 GMT

Following the lead of large businesses, midsize companies are increasingly interested in acquiring new business intelligence (BI) capabilities. Some businesses are motivated by the recognition that most of their time is spent looking for data rather than using it. Many of these organizations still use slow, manually intensive, spreadsheet-based approaches to obtaining and using information.

Successful Strategic Planning in the World of Big Data

Wed, 07 Mar 2012 07:00:00 GMT

It is difficult to ignore the growing influence of broad, massive streams of data from unexpected sources, especially when these data sources can directly influence customer satisfaction, expose opportunities for revenue generation, lead to brand risk, or improve customer profiling.

Seven Data Discovery Steps for Improving Information Delivery and Accuracy

Thu, 01 Mar 2012 07:00:00 GMT

Know your data: With today’s information-driven business projects, no maxim could be truer. Yet many organizations lack fundamental knowledge about their data – and the situation is getting tougher as “big data” sources grow in size and variety and manual documentation efforts can’t keep pace.

The Confluence of Big Data and Advanced Analytics

Thu, 09 Feb 2012 07:00:00 GMT

The term “big data” has arisen in recent years to describe multi-terabyte data sets. Big data certainly has its challenges, relative to scalability and data management. But it’s also useful for business intelligence purposes. In particular, the massive datasets of big data provide substantial data samples for various forms of analytics, especially advanced forms that are discovery oriented.

Mobile Business Intelligence and Analytics: Extending Insight to a Mobile Workforce

Wed, 11 Jan 2012 07:00:00 GMT

Today, there are more mobile devices than desktop computers. Some experts predict that before long, the majority of business will be conducted via smart phones and tablets.

High Performance Data Management for Advanced Analytics

Thu, 15 Dec 2011 07:00:00 GMT

Big data is putting a big hurt on traditional data warehousing. Data volumes are rising fast, and it’s getting harder to keep up with the variety and velocity of data using standard procedures for extraction, transformation, and loading.

Hadoop—Busting its Myths to Reveal its True Value for BI

Wed, 14 Dec 2011 07:00:00 GMT

Despite all the hubbub and hype around Hadoop, few business intelligence (BI) professionals know much about what Hadoop is, how it works, or in which situations they should deploy it. In fact, numerous myths about Hadoop persist among BI professionals and their business counterparts.

Gotchas That Can Get Ya in 2012: Critical Issues in Supporting Self-Service BI

Tue, 13 Dec 2011 07:00:00 GMT

The recession has forced many companies to do much more with much less – IT is no exception. On the other hand, making smarter decisions faster has never been more important.

Transitioning Enterprise Data Architecture Using Actionable Metadata

Thu, 08 Dec 2011 07:00:00 GMT

Over the years, metadata can be compared to daily vitamins – people have invested in its management without necessarily knowing whether it does any good.

Seizing Business Advantage: Emerging Trends in Business Intelligence and Analytics for 2012

Wed, 07 Dec 2011 07:00:00 GMT

Business intelligence (BI) and analytics tools are in high demand as organizations seek to use information assets to improve business outcomes, deliver better customer experiences, save costs through operational efficiency, and more.

Getting from Operational BI to the Real Time

Tue, 06 Dec 2011 07:00:00 GMT

Today, organizations across all industries are rushing to a new frontier opened up by the power of recent developments in information technology. Much of the excitement centers on speed: technologies are converging to dramatically reduce, if not eliminate, delays in how organizations serve customers; respond to events in their markets, supply chains, and manufacturing processes; and apply information insights to a range of decision making. “Real time” is becoming a reality and a competitive advantage.

Developing a Data Quality Strategy

Thu, 01 Dec 2011 07:00:00 GMT

Reinventing Your Business Intelligence Program

Wed, 30 Nov 2011 07:00:00 GMT

Whether you’re new to BI or have already started down the road, it is critical that your BI investments deliver business value.

Analytic Workloads: Which Data Warehouse Architecture Is Right for You?

Tue, 29 Nov 2011 07:00:00 GMT

The number of workloads for analytics has increased significantly in recent years. This is because more user organizations than ever before are using advanced forms of analytics, including complex SQL, data mining, and statistical analysis.

Can Business Intelligence save us?

Thu, 17 Nov 2011 07:00:00 GMT

Business Intelligence has a lot to prove and now is the time to do it. There has been a lot of talk lately in the BI circles that BI is a necessary business function.

ETL 2.0: The Imminent Evolution of ETL

Wed, 16 Nov 2011 07:00:00 GMT

Most ETL environments were designed for the business requirements of at least ten years ago – before the number of data sources, applications and use-cases exploded, and before the demands of Big Data, social media and mobile technology were added to the mix.