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Setting the Stage for a Successful MDM Program
Krasen Paskalev, VP Data Quality & Master Data Management, Adastra Corporation
Putting together a successful MDM program is a complex exercise that requires careful orchestration of an organization’s business vision, organisation, processes, governance, and technology solutions—aspects that consist of multiple critical components. Leveraging Adastra’s methodology for initiating MDM and establishing effective MDM roadmaps, this presentation will explore these components and discuss how to optimally correlate and align them.
Mobile BI Trends
Shameer Kanji, VP Business Intelligence, Adastra Corporation
Elkin Arboleda, BI Competency Lead, Adastra Corporation
Mobile BI has been on the market for several years now; however, only over the past year have most BI vendors started to invest considerable resources to enable their existing BI applications on various mobile devices. The main spark behind this trend has been the rapid and dramatic evolution of smartphones and tablet devices. According to Gartner, by 2013, 33 percent of BI functionality will be consumed via handheld devices; by 2014, 90 percent of organizations will support corporate applications on personal devices. In this session you will learn about the latest BI Mobile and Internet Mobile trends, the current position of the main BI vendors on the mobile space, and you will see a live demo of a BI Retail application using the iPhone and iPad devices.
Choosing the Right Reporting Framework for Your Industry
Shannon Corless, Director Solution Delivery, Adastra Corporation
Recent technology advances now enable organizations in all industries to implement a strategic Business Intelligence framework; however, choosing and working with the right tool for your industry remains a challenge. This presentation will discuss strategies for choosing an appropriate and effective reporting framework, and will leverage Shannon’s extensive financial services and telecommunications experience. Approaches will be described in terms of business drivers, project timelines, organizational impact, technology architecture, and business benefits. Real-world examples will be the basis of unique observations on successful and innovative strategies, approaches, and principles that are applicable to any complex organization.
Is Cloud BI Promising the Sky?
Wayne Knaggs, Manager, Business Solutions, Adastra Corporation
Traditionally, only large organizations had sufficient financial and human capital to develop and implement Data Warehouses and reporting infrastructures to support their business objectives. One of the many promises of cloud computing is “affordable reporting with a faster time-to-market.” If the promise of infinitely scalable infrastructure, data stores and reports holds, and all that is needed is data, why do we need Data Warehouses at all? This presentation will discuss different cloud computing offerings and will focus on cloud Business Intelligence (BI), where it fits in the traditional SDLC, how it can coexist with traditional systems, and whether data quality still matters.
Effective Data Governance: Operational Focus & Accelerators
Wayne Knaggs, Manager, Business Solutions, Adastra Corporation
At the very heart of Data Governance is the unification and formal integration of business ownership and interaction with technology or operational groups according specific processes, such as Data Quality or MDM. Using Data Quality as an example, this presentation will illustrate and discuss how such a process is developed and deployed. Particular emphasis will be given to the prerequisites for process development, sustaining and evolving Data Governance processes, and what can be done to accelerate implementation without compromising effectiveness.
Industry Data Models—The Key to Successful Integration
Dominick Celentano, Senior Consultant, Adastra Corporation
Data Modeling is an important component of many Information Management initiatives, including Data Warehousing and application integration. Across industries, inconsistent modeling of business data is a major obstacle to the success information integration projects. The application of an Industry Data Model helps integrate information and systems by ensuring consistent, industry-compliant design standards while accelerating the system development process.
The availability of industry standard models has increased significantly in the past several years. This presentation will discuss the common challenges addressed by Industry Data Models, the different types of models available, how they are implemented, and how they relate to information integration.
The Strategic Implications of Basel III Regulations for Enterprise Information Management
Ilia Bolotine, SVP, Financial Services, Adastra Corporation
Coming soon to a financial institution near you—Basel III regulations. What do they mean for you and your IT department? What are the challenges you are about to face and which approach will most effectively meet them? This presentation will outline the IT implications of the next round of regulations and present a proven framework for establishing compliance and preparing your Information Management infrastructure for the coming decade.
A Survey of High-Performance Database Technology
Kal Lin, Senior Consultant, Adastra Corporation
What can we learn from the likes of Google, Facebook, and Amazon and their ability to leverage vast amounts of user data and dominate their respective markets? This presentation spotlights high performance data management and what it can do for today's data rich organizations. We will discuss concepts such as column stores, key-value stores, document databases, and graph databases, as well as the capabilities of cutting-edge high-performance software including Vertica, ParAccel, Infobright, Aster Data, Dynamo, CouchDB, MongoDB, BigTable, Cassandra, MapReduce, Neo4J, and OrientDB.
Extending Information Management Value through Enterprise Architecture Practices
Nelio Lucas, SVP Technology & Chief Architect
In most organizations, Enterprise Application Integration (EAI), Enterprise Data Warehousing (EDW) and Master Data Management (MDM) are managed separately and leverage different technologies and data sets. A robust EAI platform requires a truly enterprise approach which, once developed, dramatically facilitates the subsequent introduction of EDW and MDM. EAI is required when business processes span more than one application; in its simplest form, EAI involves data exchanges between multiple pairs of applications. EDW supports a holistic view of the enterprise through integrated reporting and analytics, requiring data from multiple applications. MDM supports a consistent view of the core data assets, such as customer and product, across applications. This presentation will discuss the commonalities of these platforms and the needs they address, as well as how an integrated approach can simplify the architecture, promote reusability, lower time-to-market, and cut costs.
Achieving an Enterprise Information Management Roadmap
Nikola Raskovic, Senior Consultant
Proceeding on any project without a detailed plan is simply unthinkable for managers of today’s complex Information Management projects. The ability to plan for resources, manage user expectations and costs, and measure success is simply invaluable. As the need for integration of Information Management across the Enterprise grows, the Enterprise Information Management Roadmap amplifies this value. This presentation will guide you through the Roadmap process and put you on the path towards bringing value to your organization, from the basis of a Data Governance vision, to higher user-adoption and user value, to overall solution integrity.
Implementing CDIC: Opportunities for a Modern Single Customer Data View
Gary Filan, VP Worldwide Sales, Ataccama Corporation
With new CDIC regulations, financial institutions in Canada are challenged with information management requirements that demand a consolidated view of their customers. With high data volumes, demanding SLAs, and differentiated premiums, you can view the CDIC requirement as a problem or opportunity. Learn how a modern, operational Single Customer View can save you money with CDIC and generate opportunities elsewhere.
How to Turn the Big Data Silo into An Enterprise Information Asset
Robert Eve, Executive Vice President of Marketing, Composite Software Inc.
Big Data is a Big Deal. New classes of analytics are revolutionizing how we think about business intelligence. And new classes of analytic data warehouse appliances such as Netezza and NoSQL data stores such as Hadoop are revolutionizing how we think about data management. However, this proliferation of new analytics and data stores break the hegemony of the enterprise data warehouse and thus undermine traditional data integration paradigms. New data integration approaches are required. Through a series of case studies in Financial Services, Energy, and Life Sciences companies, you will learn what business and technical factors are driving Big Data adoption, how Big Data changes the conventional view of traditional data integration and where Big Data is being successfully integrated.
Mobile BI on the Go (Case Study): Implementing Mobile BI in Manufacturing
Ingvar Lange, Senior Business Intelligence Consultant, Adastra Germany
Mobile Business Intelligence implementations often present challenges in terms of security and support. How these challenges were met at a large German automobile manufacturer provides lessons for future implementations. Practical insight on starting conditions, goals, difficulties and security issues will be discussed along with visual samples of the developed applications and where the project is going next.
Is “Social Intelligence” Really That Smart?
Richard Duck, Sr. Consultant, Strategic Planning, Canadian Institute for Health Information (CIHI)
The phenomenon of “social media” has redefined the way we interact on a social level, and how we access and qualify information in our daily lives. That same phenomenon is now gaining an even more powerful momentum in boardrooms across the world as business organizations look for new ways to harness customer data. The potential to utilize this phenomenon to drive “social Intelligence” is certainly tempting as popular applications like Twitter, FaceBook, and Google deal in “oceans” of un-tapped, raw data in real-time and that data comes directly from the consumer! Imagine the insight that could be gained from having access to your customer’s personal thoughts, feelings, and emotions, and right as they experience them? It could be a gold mine but it could also be a field of land mines. The challenges of dealing with large volumes of unstructured and unqualified data may make the undertaking less enticing when all is said and done. This presentation will explore the social media “intelligence” phenomenon and whether the information value outweighs the costs.
Achieving an Effective IM Business Case
Ondřej Frydrych, Managing Director, Adastra Czech Republic
“Business case” and “cost-benefit analysis” have become increasingly important terms when planning an IM project. Businesses demand projects that provide rapid and significant return on investment. A project’s benefit promise depends on its complexity and delivery speed: the operational benefits of campaign management are more immediately obvious than the longer term benefits of underwriting and collections improvement and strategic initiatives such as data quality management. This presentation provides an overview of the latest trends in European banking and insurance in justifying various vital projects and managing business expectations.
Putting Social Networks to Work For Your Business
Brian Brinkmann, Sr. Director, MicroStrategy
Social networks, especially Facebook, offer the most comprehensive, up-to-date source of customer information. Learn how the new MicroStrategy friendly applications – Alert, Emma, and Wisdom – help you use Facebook in conjunction with your enterprise data to glean valuable customer insights. See how you can interact with your customers to create trusted relationships that lead to tangible business value.
Achieving Analytic Advantage During a Data Deluge
Mike Kearney, Director of Product Marketing, IBM Netezza
The volume of digital data in the world grew 64% last year and it is forecast to be 44x larger by 2020 (IDC Digital Universe Study, May 2011). Across industries, companies are struggling to develop strategies and solutions to not only cope with but strategically exploit this digital deluge to gain insights, drive efficiency, reduce risk and fraud and deliver exceptional financial rewards to their organizations. Analytic advantage – the ability to collect, understand, analyze, and act on the exponentially growing sea of big data and digital data – is the key characteristic that will distinguish companies that dominate in the coming years and decades. Join us in this session which will explore the frontiers and success strategies in today's world of big data and a digital data deluge.
Agile Data Acquisition with the Offshore Data Factory
Adam Peter Richardson, Enterprise Data Warehouse Technology Head, Information Management, BMO Financial Group
Oliver Fuchs, SVP Operations, Adastra Corporation
Agile development for ETL? Not possible! Incorporating offshore teams as part of an agile lifecycle? Even less possible! At least this is what conventional wisdom tells us. Learn how one organization refused to listen to conventional wisdom and did it anyway, delivering bulk data loads to the Data Warehouse for 50% to 75% less cost, using ultra-short iterative cycles. Presented from both the customer and vendor perspective, this workshop will provide real life examples of what worked, what didn’t work, how problems were solved, and what problems are still to be overcome
Data Quality and the Complete Customer Lifecycle
Brian St. Jean, Director Technical Sales, Pitney Bowes Business Insight
Most progressive global organizations recognize the importance of building a Data Quality competency across the customer lifecycle and outside MDM to deliver accurate and rich insight that benefits the larger organization. An SOA approach to delivering Data Quality and Enrichment services is in use at major organizations like FedEx, Mastercard, AT&T, AllState, Cigna Healthcare, that not only serves as a foundation for MDM, but also enables them to optimize their existing business processes.
Over the lifecycle stages, customers are impacted by the quality and insight you have in your data. An infrastructure which supports data accuracy and enrichment allows for improvement in most business processes.
