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Published By: DATAVERSITY     Published Date: Jun 14, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate, if needed) the strategic and tactical business drivers every enterprise needs for market success. This paper is sponsored by: ASG, DGPO and DebTech International.
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data, data management, data governance, data steward, dataversity, research paper
    
DATAVERSITY
Published By: Trillium Software     Published Date: Dec 17, 2015
Digital business and disruptive technologies continue to fuel solid growth in the data quality tools market, alongside traditional cost reduction and process optimization efforts. This Magic Quadrant will help CIOs, chief data officers and information leaders find the best vendor for their needs.
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Trillium Software
Published By: CA Technologies     Published Date: Feb 25, 2016
As combinations of both internal and externally-imposed business policies imply dependencies on managed data artifacts, organizations are increasingly instituting data governance programs to implement processes for ensuring compliance with business expectations. One fundamental aspect of data governance involves practical application of business rules to data assets based on data elements and their assigned values. Yet despite the intent of harmonizing data element definitions and resolution of data semantics and valid reference values, most organizations rarely have complete visibility into the metadata associated with enterprise data assets.
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CA Technologies
Published By: Paxata     Published Date: Apr 02, 2014
Why Sift Through Data Landfills? Better business insight comes from data - but data is often dirty, incomplete and complicated. As any analyst would admit, what passes for data science is more like janitorial work. Find out why that is - and how you can avoid the painful, manual and error-prone processes that have bogged down the analytics process for 30 years.
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data, data management, big data, white paper, paxata, analytics
    
Paxata
Published By: MemSQL     Published Date: Jun 25, 2014
Emerging business innovations focused on realizing quick business value on new and growing data sources require “hybrid transactional and analytical processing” (HTAP), the notion of performing analysis on data directly in an operational data store. While this is not a new idea, Gartner reports that the potential for HTAP has not been fully realized due to technology limitations and inertia in IT departments. MemSQL offers a unique combination of performance, flexibility, and ease of use that allows companies to implement HTAP to power their business applications.
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MemSQL
Published By: CapTech     Published Date: May 26, 2015
Big Data is the future of business. According to CloudTweaks.com, as much as 2.5 quintillion bytes of data are produced each day, with most of this data being captured by Big Data. With its ability to transfer all data sources all into one centralized place, Big Data provides opportunities, clearer visions, customer conversations and transactions. However, with the dazzling big promise of Big Data comes a potentially huge letdown. If this vast pool of information resources is not accessible or usable, it becomes useless. This paper examines strategies for building the most value into your Big Data system by enabling process controls to effectively mine, access and secure Big Data.
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big data, captech, data, data management, nosql
    
CapTech
Published By: Trillium Software     Published Date: Apr 10, 2017
For the 11th consecutive year, the Gartner Magic Quadrant for Data Quality Tools1 research report positions Trillium Software as a leader in the Data Quality Software industry. Data Quality is vital to ensuring trust in your data-driven, decision making business processes. Confidence is the result of a well thought out and executed data quality management strategy and is critical to remaining competitive in a rapidly and ever-changing business world. The 2016 Gartner Magic Quadrant for Data Quality Tools report is a valuable reference, providing the latest insights into the strengths and cautions of leading vendors. Access the report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.
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Trillium Software
Published By: Ontotext     Published Date: Dec 21, 2015
Learn how semantic technologies make any content intelligent and turn it into revenue for your publishing business There is a smarter, cost-effective way for publishers to create, maintain and reuse content assets with higher accuracy. It is called dynamic semantic publishing. Putting Semantic Technologies at Work for the Publishing Industry An efficient blend of semantic technologies, dynamic semantic publishing enables powerful experiences when it comes to publishers’ main stock of trade: processing and representing information.
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Ontotext
Published By: Silwood Technology     Published Date: Mar 02, 2016
Ever since organisations started to implement packaged software solutions to solve business problems and streamline their processes there has been a need to access their data for the purposes of reporting and analytics, integration, governance, master data and more. Information Management projects such as these rely on data professionals being able to understand the underlying data models for these packages in order to be able to answer the critical question “Where’s the data?”. Without this knowledge it is impossible to ensure accuracy of data or timely delivery of projects. In addition the lack of discovery tools designed to meet this challenge has meant that performing this task has commonly been frustrating, time-consuming and fraught with risk. This white paper offers insight into why the traditional methods are not effective and how an innovative software product from Silwood Technology provides a faster and more effective approach to solving the problem.
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Silwood Technology
Published By: Octopai     Published Date: Sep 01, 2018
For many BI professionals, every task can feel like MISSION IMPOSSIBLE. All the manual mapping required to sort out inconsistencies in data and the lack of tools to simplify and shorten the process of finding and understanding data leaves BI groups frustrated and slows down the business. This whitepaper examines the revolutionary impact of automation on the cumbersome manual processes that have been dragging BI down for so long. • Data correction vs process correction • Root-cause analysis with data lineage: reverse-tracing the data flow • Data quality rules and data controls • Automated data lineage mapping
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Octopai
Published By: BackOffice     Published Date: Apr 22, 2018
The success of a business is increasingly influenced by how effectively it utilizes data within strategic decision making & operations. But when a business views its critical data simply as a byproduct of business processes, and doesn’t value it as a business asset, it increases the risk of not being able to achieve its desired outcomes.
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BackOffice
Published By: Basho     Published Date: Nov 25, 2015
The landscape of Scalable Operational and Analytical Systems is changing and disrupting the norm of using relational databases for all workloads. With the growing need to process and analyze Big Data at Scale, the demand for alternative strategies has grown and has given rise to the emergence of NoSQL databases for scalable processing. Mike Ferguson, Managing Director of Intelligent Business Strategies, is an independent IT Analyst who specializes in Big Data, BI/Analytics, Data Management and Enterprise Business Integration. In this whitepaper he will discuss the movement towards NoSQL databases for scalable operational and analytical systems, what’s driving Big Data analytics from Hadoop to the emergence of Apache Spark, the value of operational analytics and the importance of in-memory processing, and why use Apache Spark as your in-memory analytical platform for operational analytics.
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Basho
Published By: DATAVERSITY     Published Date: Dec 23, 2013
Everyone in an organization relies on Metadata to do their jobs. Whenever an email is sent, a report is run, inventory is ordered, compliance procedures are verified, a new IT system is integrated, applications are executed, or essentially any other business function, process, or decision is undertaken, Metadata is facilitating in the background. If that Metadata is corrupt, missing, redundant, or unpredictable then they cannot do their jobs well, they cannot trust the data they are using, and the organization ultimately suffers at all levels. Data Stewards are the people who are use, define, cleanse, archive, analyze, and share the data that is mapped directly to the Metadata of their myriad database and application systems. If your organization does not have Data Stewards (or an inefficient Stewardship Program), you need them. This paper is sponsored by: ASG.
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DATAVERSITY
Published By: First San Francisco Partners     Published Date: Jan 23, 2013
Master data management (MDM) is about people and process; it is not about technology. Implementing MDM technology alone will not address operational and business process challenges.
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white paper, data, data management, master data management, first san francisco partners, dataversity
    
First San Francisco Partners
Published By: First San Francisco Partners     Published Date: May 19, 2014
Master data management (MDM) is about people and process; it is not about technology. Implementing MDM technology alone will not address operational and business process challenges. Rather, “mastering” data involves people taking action through established data policies and processes. Data Governance ensures that data in the MDM hub is of high quality and can be trusted by business users. Lacking Data Governance, organizations do not have consistent data definitions or know what constitutes a data problem, who is accountable, what decisions need to be made, or how to escalate and resolve issues.
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white paper, master data management, first san francisco partners, kelle o'neal, dataversity, data governance, mdm, master data management white paper, data governance white paper
    
First San Francisco Partners
Published By: ASG     Published Date: Jun 10, 2013
Everyone in an organization relies on Metadata to do their jobs. Whenever an email is sent, a report is run, inventory is ordered, compliance procedures are verified, a new IT system is integrated, applications are executed, or essentially any other business function, process, or decision is undertaken, Metadata is facilitating in the background. If that Metadata is corrupt, missing, redundant, or unpredictable then they cannot do their jobs well, they cannot trust the data they are using, and the organization ultimately suffers at all levels. Data Stewards are the people who are use, define, cleanse, archive, analyze, and share the data that is mapped directly to the Metadata of their myriad database and application systems. If your organization does not have Data Stewards (or an inefficient Stewardship Program), you need them.
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asg, data, data management, data governance, white paper, dataversity, data steward, metadata
    
ASG
Published By: Semarchy     Published Date: Aug 18, 2016
David Loshin reexamines the way we ingest, manage, consume, and transform data into actionable information and intelligence. Read how this industry expert makes the case for data governance with an unconventional business-first focus. The conventional wisdom on data governance proposes hierarchies, operating models, and processes for data policy definition and implementation. Unfortunately, poorly-designed and minimally-planned data governance processes are ineffective because they are bureaucratic and overwhelming. This is especially true when processes are imposed by fiat, take a long time, and don't result in any short-term improvement in information value. But proper data governance is a critical success factor for master data management! In this paper, we examine the motivations for coupling data governance with master data management and consider how to evolve data policies and processes to position master data management for success.
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Semarchy
Published By: DATAVERSITY     Published Date: Jun 17, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate,if needed) the strategic and tactical business drivers every enterprise needs for market success.
Tags : 
research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: Avanade DACH     Published Date: Jan 08, 2019
To compete in today’s world, business leaders are placing increased demands on IT. Unfortunately, many IT departments are not able to deliver future innovation with their current infrastructure, applications and processes. To meet these demands, IT must digitally transform the enterprise through the adoption of cloud native practices, allowing them to both optimize and transform their existing infrastructure and applications. Recent Avanade research supports this thinking, finding that 88% of senior IT decision-makers believe that IT modernization is crucial to addressing the emerging requirements of the digital business1 . On the upside, those surveyed also indicated that by modernizing their IT infrastructures they expect to deliver real business results, such as boosting annual revenue by 14%, while at the same time reducing business operating costs by 13%1 . For many, this sounds like a winning strategy but what does it mean to adopt cloud native approaches, and how does it impact
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Avanade  DACH
Published By: bChannels - Software One     Published Date: Dec 11, 2018
For many years, organizations thought about business continuity in much the same way they thought about business insurance — yes, it was important, but rarely was it top of mind. But that’s all changed. Many organizations have, unfortunately, discovered that even a scant few minutes of service downtime can have deleterious effects on their business operations, resulting in lost revenue, diminished customer confidence and heightened compliance risk. For those and other reasons, IT executives have raised the bar on business continuity preparedness for their organizations in all ways. New technologies, business processes and partnerships, combined with a raised level of importance for testing and a full appreciation of what virtualization can and can’t do for business continuity, are essential to new thinking around avoiding the impact of an unplanned service interruption. Download this informative Whitepaper to learn more about how Veritas Netbackup 8.1.2 can help.
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bChannels - Software One
Published By: Lenovo - APAC     Published Date: Feb 01, 2019
Digital transformation has become a popular theme across enterprises. However, companies are confronted with several challenges. In a survey done recently, two-thirds of IT investments by Japanese companies were about "running-the-business", and a very small sum was focussed on business innovation and growth. What are the processes that an organization should create to promote digital transformation? What are the challenges? Read this article from Nikkei XTech that analyses the IT enterprise in Japan and challenges that it faces today.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Epicor Software Corporation     Published Date: Jan 09, 2019
To Keep Pace With Your Customers and Competitors, It’s Time to Leave Your Legacy Software Behind. Legacy enterprise resource planning (ERP) systems struggle to keep up with the modern pace of business, and they fail to meet the changing needs of your workforce. Can your leaders quickly find and analyze vital data? Are your employees’ tasks and processes straightforward and efficient? Does your ERP software make it easier to support growth? See how manufacturers upgrading to the latest ERP software from Epicor transform their business by delivering the visibility, efficiency, and productivity essential for sustained growth.
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Epicor Software Corporation
Published By: MobileIron     Published Date: Feb 12, 2019
The adoption of mobile and cloud technologies is driving massive change in organizations around the world. These new technologies enable organizations to streamline business processes, lower costs, and help employees work productively anywhere. However, securing mobile apps and cloud services requires more than passwords and legacy security approaches that aren’t designed for the mobile-cloud world.
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MobileIron
Published By: Genesys     Published Date: Feb 08, 2019
Successfully implementing and managing a comprehensive suite of customer experience technologies is essential for global businesses seeking to sustain high levels of customer experience and brand value. However, knowing how to temper the instinct to throw technology solutions at efficiency problems is what distinguishes global customer experience leaders from the rest. New technologies must be balanced with appropriate investment in human resources. This is the central finding of a global survey of over 550 senior executives conducted by MIT Technology Review to examine the pressures that shape their customer experience processes and the tools and strategies they employ to mitigate those challenges and continuously improve customer engagement. Read the report to get a detailed look at: The strategies that differentiates an Iconic firm from other businesses How strategies vary across regions based on maturity and customer expectations Future innovation management and technology adopt
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Genesys
Published By: Genesys     Published Date: Feb 12, 2019
Successfully implementing and managing a comprehensive suite of customer experience technologies is essential for global businesses seeking to sustain high levels of customer experience and brand value. However, knowing how to temper the instinct to throw technology solutions at efficiency problems is what distinguishes global customer experience leaders from the rest. New technologies must be balanced with appropriate investment in human resources. This is the central finding of a global survey of over 550 senior executives conducted by MIT Technology Review to examine the pressures that shape their customer experience processes and the tools and strategies they employ to mitigate those challenges and continuously improve customer engagement. Read the report to get a detailed look at: The strategies that differentiates an Iconic firm from other businesses How strategies vary across regions based on maturity and customer expectations Future innovation management and technology adopt
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Genesys
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