Collibra Conference 2023

Collibra Conference 2023: A Deep Dive into Data Governance and Collaboration

Introduction:

Are you ready to elevate your data governance strategy? The Collibra Conference 2023 wasn't just an event; it was a pivotal moment for data professionals seeking cutting-edge solutions and collaborative opportunities. This comprehensive post serves as your ultimate guide to everything you might have missed, offering insights from key sessions, networking opportunities, and the overall impact of this influential gathering. Whether you attended or not, this deep dive will provide valuable takeaways for improving your organization's data management practices. We'll cover key announcements, emerging trends, and practical strategies you can implement immediately. Prepare to unlock the power of collaborative data governance!

H1: Key Takeaways from Collibra Conference 2023

The Collibra Conference 2023 delivered a powerful message: effective data governance is not just a technical challenge, but a collaborative journey requiring robust technology and engaged individuals across the entire organization. This year's conference showcased how Collibra's platform empowers businesses to overcome data challenges through enhanced collaboration, automation, and improved data quality. Key themes that emerged included:

H2: The Rise of Collaborative Data Governance

The conference highlighted the shift from siloed data management to a more holistic, collaborative approach. Sessions emphasized the importance of breaking down data barriers between departments, fostering cross-functional communication, and establishing a shared understanding of data ownership and responsibility. Real-world case studies illustrated how organizations are leveraging Collibra to unify their data governance efforts, resulting in improved decision-making and streamlined operations. This collaborative spirit wasn't just preached; it was actively demonstrated through interactive workshops and networking opportunities that encouraged attendees to share best practices and learn from one another.

H2: Automating Data Governance for Efficiency and Scalability

Automation was another central theme. Several sessions demonstrated how Collibra's platform enables organizations to automate repetitive tasks, such as data cataloging, metadata management, and policy enforcement. This automation not only frees up valuable time for data professionals but also ensures consistency and accuracy across the entire data landscape. Attendees learned how to leverage automation to improve data quality, reduce risk, and scale their data governance programs to accommodate growing data volumes and evolving business needs. The focus was on practical implementation, with demonstrations of specific automation features and strategies.

H2: Data Quality: A Foundation for Trust and Insights

High-quality data is the lifeblood of any successful organization. The conference underscored the critical role of data quality in driving informed decision-making, enhancing operational efficiency, and mitigating risk. Sessions focused on practical strategies for improving data quality, including data profiling, cleansing, and validation techniques. Attendees learned how Collibra's platform can help identify and address data quality issues proactively, ensuring that organizations have access to accurate, reliable, and trustworthy data. The emphasis was on transforming data quality from a reactive task to a proactive and integrated part of the data governance lifecycle.

H2: Emerging Trends in Data Governance and the Future of Collibra

Beyond the core themes, the conference also offered a glimpse into the future of data governance. Discussions covered emerging trends such as AI-driven data governance, the integration of Collibra with other data management tools, and the evolving needs of diverse industries. Attendees gained valuable insights into how Collibra is adapting to the changing data landscape and developing innovative solutions to address future challenges. The conference provided a platform for Collibra to unveil new features and functionalities, showcasing its commitment to continuous innovation.

H1: A Sample Conference Agenda Outline

This is a hypothetical outline based on typical conference structures; the actual 2023 agenda would need to be sourced from Collibra's official archives.

Name: Collibra Conference 2023: Unlocking the Power of Collaborative Data Governance

Outline:

Introduction: Welcome and overview of the conference themes. Keynote speaker addressing the current data governance landscape and Collibra's role.
Chapter 1: Collaborative Data Governance in Action: Case studies demonstrating successful implementations of Collibra's platform across diverse industries. Interactive workshops focusing on best practices for fostering cross-functional collaboration.
Chapter 2: Automating Your Data Governance Journey: Deep dive into Collibra's automation capabilities. Sessions on data cataloging, metadata management, and policy enforcement automation. Hands-on training sessions.
Chapter 3: Achieving Data Quality Excellence: Techniques for data profiling, cleansing, and validation. Discussions on building data quality into the data lifecycle. Workshops on data quality monitoring and improvement.
Chapter 4: The Future of Data Governance with Collibra: Presentations on emerging trends such as AI-driven data governance and Collibra's future roadmap. Networking opportunities with industry leaders.
Conclusion: Recap of key takeaways, Q&A session with Collibra experts, and closing remarks.

Detailed Explanation of Outline Points:

(The following expands on each point of the sample outline. Note: This is hypothetical content based on the typical content of such a conference. Specific details would depend on the actual 2023 conference agenda.)

Introduction: This opening session would set the stage for the conference, welcoming attendees and highlighting the importance of data governance in today's data-driven world. A keynote speaker, likely a senior executive from Collibra, would provide an overview of the conference themes and share insights on the evolving data governance landscape.

Chapter 1: Collaborative Data Governance in Action: This chapter would feature compelling case studies from organizations that have successfully implemented Collibra's platform to improve their data governance practices. These case studies would showcase the tangible benefits of collaboration, such as improved data quality, reduced risk, and enhanced decision-making. Interactive workshops would enable attendees to actively participate in discussions and share their own experiences.

Chapter 2: Automating Your Data Governance Journey: This chapter would focus on the practical aspects of automating data governance tasks using Collibra's platform. Attendees would learn how to automate data cataloging, metadata management, and policy enforcement, saving time and resources while ensuring consistency and accuracy. Hands-on training sessions would provide practical experience with these automation features.

Chapter 3: Achieving Data Quality Excellence: This chapter would address the critical issue of data quality. Attendees would learn about various techniques for data profiling, cleansing, and validation, as well as strategies for proactively managing and improving data quality throughout the data lifecycle. Workshops would focus on data quality monitoring tools and techniques.

Chapter 4: The Future of Data Governance with Collibra: This section would offer a forward-looking perspective on data governance. Presentations would cover emerging trends, such as the integration of AI and machine learning into data governance workflows. This section would also showcase Collibra's product roadmap and future plans. Networking opportunities would allow attendees to connect with Collibra experts and industry peers.

Conclusion: The final session would summarize the key takeaways from the conference and provide an opportunity for attendees to ask questions and engage in further discussions.

FAQs:

1. What is Collibra's role in data governance? Collibra provides a platform for collaborative data governance, enabling organizations to manage, share, and govern their data assets effectively.

2. What are the key benefits of attending the Collibra Conference? Networking opportunities, learning about best practices, insights into emerging trends, and access to product updates.

3. Who should attend the Collibra Conference? Data professionals, IT managers, business analysts, and anyone involved in data governance.

4. What topics were covered at the Collibra Conference 2023? Collaborative data governance, automation, data quality, and emerging trends.

5. Is there a recording of the Collibra Conference 2023 available? Check Collibra's official website for potential recordings or on-demand content.

6. How can I learn more about Collibra's platform? Visit the Collibra website or contact their sales team.

7. What are some of the key challenges in data governance that Collibra addresses? Data silos, inconsistent data quality, lack of collaboration, and regulatory compliance.

8. What industries benefit most from Collibra's solutions? Many industries, including finance, healthcare, manufacturing, and retail.

9. What is the cost to attend the Collibra conference? This varies yearly and is typically found on their official registration pages.

Related Articles:

1. Collibra Data Governance Platform Review: An in-depth review of Collibra's features and functionalities.
2. Top 10 Data Governance Challenges and How to Overcome Them: Strategies for addressing common data governance issues.
3. The Importance of Data Quality in Business Decision-Making: The role of data quality in driving successful business outcomes.
4. Automating Data Governance for Improved Efficiency and Scalability: How automation can streamline data governance processes.
5. Collaborative Data Governance: Breaking Down Data Silos: The benefits of a collaborative approach to data governance.
6. AI and Machine Learning in Data Governance: How AI can enhance data governance capabilities.
7. Data Governance Best Practices for Different Industries: Industry-specific data governance considerations.
8. The Future of Data Governance: Emerging Trends and Technologies: Predictions about the future of data governance.
9. Regulatory Compliance and Data Governance: How data governance can help organizations meet regulatory requirements.

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collibra conference 2023: DIRECTORY OF CORPORATE COUNSEL. , 2023
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collibra conference 2023: Information Governance Robert F. Smallwood, 2014-03-28 Proven and emerging strategies for addressing document and records management risk within the framework of information governance principles and best practices Information Governance (IG) is a rapidly emerging super discipline and is now being applied to electronic document and records management, email, social media, cloud computing, mobile computing, and, in fact, the management and output of information organization-wide. IG leverages information technologies to enforce policies, procedures and controls to manage information risk in compliance with legal and litigation demands, external regulatory requirements, and internal governance objectives. Information Governance: Concepts, Strategies, and Best Practices reveals how, and why, to utilize IG and leverage information technologies to control, monitor, and enforce information access and security policies. Written by one of the most recognized and published experts on information governance, including specialization in e-document security and electronic records management Provides big picture guidance on the imperative for information governance and best practice guidance on electronic document and records management Crucial advice and insights for compliance and risk managers, operations managers, corporate counsel, corporate records managers, legal administrators, information technology managers, archivists, knowledge managers, and information governance professionals IG sets the policies that control and manage the use of organizational information, including social media, mobile computing, cloud computing, email, instant messaging, and the use of e-documents and records. This extends to e-discovery planning and preparation. Information Governance: Concepts, Strategies, and Best Practices provides step-by-step guidance for developing information governance strategies and practices to manage risk in the use of electronic business documents and records.
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collibra conference 2023: Data Governance and Policy in Africa Bitange Ndemo,
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collibra conference 2023: Data Governance John Ladley, 2019-11-08 Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition
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collibra conference 2023: Data Engineering with AWS Gareth Eagar, 2023-10-31 Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to hands-on building of data engineering pipelines, our expert-led manual has got you covered. Key Features Delve into robust AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Stay up to date with a comprehensive revised chapter on Data Governance Build modern data platforms with a new section covering transactional data lakes and data mesh Book DescriptionThis book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability. You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS. By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!What you will learn Seamlessly ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Load data into a Redshift data warehouse and run queries with ease Visualize and explore data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Build transactional data lakes using Apache Iceberg with Amazon Athena Learn how a data mesh approach can be implemented on AWS Who this book is forThis book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts, while gaining practical experience with common data engineering services on AWS, will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book, but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
collibra conference 2023: Business Intelligence and Performance Management Peter Rausch, Alaa F. Sheta, Aladdin Ayesh, 2013-02-15 During the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates. Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
collibra conference 2023: Subject-Oriented Business Process Management Albert Fleischmann, Werner Schmidt, Robert Singer, Detlef Seese, 2011-08-12 This book constitutes the thoroughly refereed post-proceedings of the Second International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2010, held in Karlsruhe, Germany in October 2010. The 10 revised full papers presented together with one invited keynote paper and three panel statements were carefully reviewed and selected from initially 17 submissions. The papers present innovative cross-disciplinary ideas, concepts, methods, tools and results in foundational and applied research as well as studies on the realization of such innovations in the real world - all based on the promising new paradigm of subject-oriented business process management.
collibra conference 2023: Transformation in Times of Crisis: Eight Principles for Creating Opportunities and Value in the Post-Pandemic World Nitin Rakesh, Jerry Wind, 2020-11-25 The coronavirus pandemic is the kind of unpredictable, global catastrophe of staggering proportions that comes along not just every few years but perhaps once in a hundred years. What started out as health crisis, has quickly developed into an economic crisis spurring social unrest across the world. And yet, despite the widespread distress, the picture is more complex than it may seem. For some companies, the crisis has and continues to, provide opportunities for new growth. This urgent and timely book by a visionary business practitioner, Nitin Rakesh, CEO, Mphasis and an award-winning academician, Jerry Wind, Lauder Professor Emeritus, Wharton bridges the worlds of industry and academia to bring you the knowledge that can help your business thrive in the new world. The book defines 8 key principles that form a highly adaptive framework, that gives businesses the tools to adapt and succeed in a new reality. When Nitin Rakesh and Jerry Wind started collaborating on the book prior to the 2020 pandemic, these 8 principles were concepts on the best ways to navigate disruption that needed further exploration. However, today, having incubated the ideas for a period and encountering the unprecedented crisis, this book is a game changer for the business community. Any business, large or small, can customize and implement a winning strategy by using the eight principles and tools clearly outlined here to seek out opportunities for long-term value creation in a post-pandemic world.
collibra conference 2023: Journey to Data Quality Yang W. Lee, 2006 All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Qualityoffers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
collibra conference 2023: Infonomics Douglas B. Laney, 2017-09-05 Many senior executives talk about information as one of their most important assets, but few behave as if it is. They report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. Corporations typically exhibit greater discipline in tracking and accounting for their office furniture than their data. Infonomics is the theory, study, and discipline of asserting economic significance to information. It strives to apply both economic and asset management principles and practices to the valuation, handling, and deployment of information assets. This book specifically shows: CEOs and business leaders how to more fully wield information as a corporate asset CIOs how to improve the flow and accessibility of information CFOs how to help their organizations measure the actual and latent value in their information assets. More directly, this book is for the burgeoning force of chief data officers (CDOs) and other information and analytics leaders in their valiant struggle to help their organizations become more infosavvy. Author Douglas Laney has spent years researching and developing Infonomics and advising organizations on the infinite opportunities to monetize, manage, and measure information. This book delivers a set of new ideas, frameworks, evidence, and even approaches adapted from other disciplines on how to administer, wield, and understand the value of information. Infonomics can help organizations not only to better develop, sell, and market their offerings, but to transform their organizations altogether. Doug Laney masterfully weaves together a collection of great examples with a solid framework to guide readers on how to gain competitive advantage through what he labels the unruly asset – data. The framework is comprehensive, the advice practical and the success stories global and across industries and applications. Liz Rowe, Chief Data Officer, State of New Jersey A must read for anybody who wants to survive in a data centric world. Shaun Adams, Head of Data Science, Betterbathrooms.com Phenomenal! An absolute must read for data practitioners, business leaders and technology strategists. Doug's lucid style has a set a new standard in providing intelligible material in the field of information economics. His passion and knowledge on the subject exudes thru his literature and inspires individuals like me. Ruchi Rajasekhar, Principal Data Architect, MISO Energy I highly recommend Infonomics to all aspiring analytics leaders. Doug Laney’s work gives readers a deeper understanding of how and why information should be monetized and managed as an enterprise asset. Laney’s assertion that accounting should recognize information as a capital asset is quite convincing and one I agree with. Infonomics enjoyably echoes that sentiment! Matt Green, independent business analytics consultant, Atlanta area If you care about the digital economy, and you should, read this book. Tanya Shuckhart, Analyst Relations Lead, IRI Worldwide
collibra conference 2023: Astronomy and Big Data Kieran Jay Edwards, Mohamed Medhat Gaber, 2014-04-12 With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing has proved extremely beneficial. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority of all classified galaxies are labelled as “Uncertain”. This book reports on how to use data mining, more specifically clustering, to identify galaxies that the public has shown some degree of uncertainty for as to whether they belong to one morphology type or another. The book shows the importance of transitions between different data mining techniques in an insightful workflow. It demonstrates that Clustering enables to identify discriminating features in the analysed data sets, adopting a novel feature selection algorithms called Incremental Feature Selection (IFS). The book shows the use of state-of-the-art classification techniques, Random Forests and Support Vector Machines to validate the acquired results. It is concluded that a vast majority of these galaxies are, in fact, of spiral morphology with a small subset potentially consisting of stars, elliptical galaxies or galaxies of other morphological variants.
collibra conference 2023: Strategize: Product Strategy and Product Roadmap Practices for the Digital Age Roman Pichler, 2022-09-07 Create a winning game plan for your digital products with Strategize: Product Strategy and Product Roadmap Practices for the Digital Age, 2nd edition. Using a wide range of proven techniques and tools, product management expert Roman Pichler explains how to create a winning product strategy and actionable roadmap. Comprehensive and insightful, the book will enable you to make the right strategic decisions in today’s dynamic digital age. If you work as a product manager, Scrum product owner, product portfolio manager, head of product, or product coach, then this book is for you. What you will learn: * Create an inspiring vision for your product. * Develop a product strategy that maximises the chances of launching a winning product. * Successfully adapt the strategy across the product life cycle to achieve sustained product success. * Measure the value your product creates using the right key performance indicators (KPIs). * Build an actionable outcome-based product roadmap that aligns stakeholders and directs the product backlog. * Regularly review the product strategy and roadmap and keep them up-to-date. Written in an engaging and easily accessible style, Strategize offers practical advice and valuable examples so that you can apply the practices directly to your products. This second, revised, and extended edition offers new concepts, more tools, and additional tips and examples. Praise for Strategize: Strategize offers a comprehensive approach to product strategy using the latest practices geared specifically to digital products. Not just theory, the book is chock-full of real-world examples, making it easier to apply the principles to your company and products. Strategize is essential reading for everyone in charge of products: product executives, product managers, and product owners. Steve Johnson, Founder at Under10 Consulting. Whether you are new to product management or an experienced practitioner, Strategize is a must read. You are guaranteed to get new ideas about how to develop or improve your product strategy and how to execute it successfully. It’s an essential addition to every product manager’s reading list. Marc Abraham, Senior Group Product Manager at Intercom.
collibra conference 2023: Building 360-Degree Information Applications Whei-Jen Chen, Bruce Adams, Colin Dean, Soma Shekar Naganna, Uday K Nandam, Edward Thorne, IBM Redbooks, 2014-10-01 Today's businesses, applications, social media, and online transactions generate more data than ever before. This data can be explored and analyzed to provide tremendous business value. IBM® WatsonTM Explorer and IBM InfoSphere® Master Data Management (InfoSphere MDM) enable organizations to simultaneously explore and derive insights from enterprise data that was traditionally stored in silos in enterprise applications, different data repositories, and in different data formats. This IBM Redbooks® publication provides information about Watson Explorer 9.0, InfoSphere MDM, and IBM InfoSphere MDM Probabilistic Matching Engine for InfoSphere BigInsightsTM (PME for BigInsights). It gives you an overview, describes the architecture, and presents use cases that you can use to accomplish the following tasks: Understand the core capabilities of Watson Explorer, InfoSphere MDM, and PME for BigInsights. Realize the full potential of Watson Explorer applications. Describe the integration and value of the combination of Watson Explorer and InfoSphere MDM. Build a 360-degree information application. Learn by example by following hands-on lab scenarios. /ul>
collibra conference 2023: Winning with Data Tomasz Tunguz, Frank Bien, 2016-06-20 Crest the data wave with a deep cultural shift Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture—this book provides sound guidance on building the type of organizational culture that creates and leverages data daily, in every aspect of the business. Real-world examples illustrate these important concepts at work: you'll learn how data helped Warby-Parker disrupt a $13 billion monopolized market, how ThredUp uses data to process more than 20 thousand items of clothing every day, how Venmo leverages data to build better products, how HubSpot empowers their salespeople to be more productive, and more. From decision making and strategy to shipping and sales, this book shows you how data makes better business. Big data has taken on buzzword status, but there is little real guidance for companies seeking everyday business data solutions. This book takes a deeper look at big data in business, and shows you how to shift internal culture ahead of the curve. Understand the changes a data culture brings to companies Instrument your company for maximum benefit Utilize data to optimize every aspect of your business Improve decision making and transform business strategy Big data is becoming the number-one topic in business, yet no one is asking the right questions. Leveraging the full power of data requires more than good IT—organization-wide buy-in is essential for long-term success. Winning with Data is the expert guide to making data work for your business, and your needs.
collibra conference 2023: Information Technology: New Generations Shahram Latifi, 2017-07-19 This book collects articles presented at the 13th International Conference on Information Technology- New Generations, April, 2016, in Las Vegas, NV USA. It includes over 100 chapters on critical areas of IT including Web Technology, Communications, Security, and Data Mining.
collibra conference 2023: The Complete Guide to Cybersecurity Risks and Controls Anne Kohnke, Dan Shoemaker, Ken E. Sigler, 2016-03-30 The Complete Guide to Cybersecurity Risks and Controls presents the fundamental concepts of information and communication technology (ICT) governance and control. In this book, you will learn how to create a working, practical control structure that will ensure the ongoing, day-to-day trustworthiness of ICT systems and data. The book explains how to establish systematic control functions and timely reporting procedures within a standard organizational framework and how to build auditable trust into the routine assurance of ICT operations. The book is based on the belief that ICT operation is a strategic governance issue rather than a technical concern. With the exponential growth of security breaches and the increasing dependency on external business partners to achieve organizational success, the effective use of ICT governance and enterprise-wide frameworks to guide the implementation of integrated security controls are critical in order to mitigate data theft. Surprisingly, many organizations do not have formal processes or policies to protect their assets from internal or external threats. The ICT governance and control process establishes a complete and correct set of managerial and technical control behaviors that ensures reliable monitoring and control of ICT operations. The body of knowledge for doing that is explained in this text. This body of knowledge process applies to all operational aspects of ICT responsibilities ranging from upper management policy making and planning, all the way down to basic technology operation.
collibra conference 2023: Implementing MicroStrategy MicroStrategy University, 2013-09-03 The Implementing MicroStrategy: Development and Deployment course provides an overview of the stages involved in developing, implementing, and maintaining a business intelligence project. You will first get an intensive, yet high-level overview of the project design and report creation processes, followed by the document and dashboard creation basics. The course also covers deployment to MicroStrategy Web™ and MicroStrategy Mobile™, as well as administration and maintenance of MicroStrategy environment.
collibra conference 2023: Beyond Digital Paul Leinwand, Mahadeva Matt Mani, 2022-01-04 Two world-renowned strategists detail the seven leadership imperatives for transforming companies in the new digital era. Digital transformation is critical. But winning in today's world requires more than digitization. It requires understanding that the nature of competitive advantage has shifted—and that being digital is not enough. In Beyond Digital, Paul Leinwand and Matt Mani from Strategy&, PwC's global strategy consulting business, take readers inside twelve companies and how they have navigated through this monumental shift: from Philips's reinvention from a broad conglomerate to a focused health technology player, to Cleveland Clinic's engagement with its broader ecosystem to improve and expand its leading patient care to more locations around the world, to Microsoft's overhaul of its global commercial business to drive customer outcomes. Other case studies include Adobe, Citigroup, Eli Lilly, Hitachi, Honeywell, Inditex, Komatsu, STC Pay, and Titan. Building on a major new body of research, the authors identify the seven imperatives that leaders must follow as the digital age continues to evolve: Reimagine your company's place in the world Embrace and create value via ecosystems Build a system of privileged insights with your customers Make your organization outcome-oriented Invert the focus of your leadership team Reinvent the social contract with your people Disrupt your own leadership approach Together, these seven imperatives comprise a playbook for how leaders can define a bolder purpose and transform their organizations.
collibra conference 2023: Data Goverence for the Executive, Orr James C., 2011-01-01