practice management

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Published By: Tamr, Inc.     Published Date: Feb 08, 2019
Traditional data management practices, such as master data management (MDM), have been around for decades – as have the approaches vendors take in developing these capabilities. And they were well-equipped for the problem at hand: managing data at modest size and complexity. However, as enterprises mature and start to view their data assets as a source of competitive advantage, new methods to managing enterprise data become desirable. Enterprises now need approaches to data management that can solve critical issues around speed and scale in an increasingly complex data environment. This paper explores how data curation technology can be used to solve data mastering challenges at scale.
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Tamr, Inc.
Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: TopQuadrant     Published Date: Jun 01, 2017
This paper presents a practitioner informed roadmap intended to assist enterprises in maturing their Enterprise Information Management (EIM) practices, with a specific focus on improving Reference Data Management (RDM). Reference data is found in every application used by an enterprise including back-end systems, front-end commerce applications, data exchange formats, and in outsourced, hosted systems, big data platforms, and data warehouses. It can easily be 20–50% of the tables in a data store. And the values are used throughout the transactional and mastered data sets to make the system internally consistent.
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TopQuadrant
Published By: CMMI Institute     Published Date: Sep 03, 2014
To drive strategic insights that lead to competitive advantage, businesses must make the best and smartest use of today’s vast amount of data. To accomplish this, organizations need to apply a collaborative approach to optimizing their data assets. For organizations that seek to evaluate and improve their data management practices, CMMI® Institute has developed the Data Management Maturity (DMM)? model to bridge the perspective gap between business and IT. Download the white paper Why is Measurement of Data Management Maturity Important? to enable you to: - Empower your executives to make better and faster decisions using a strategic view of their data. - Achieve the elusive alignment and agreement between the business and IT - Create a clear path to increasing capabilities
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white paper, enterprise data management, data model, data modeling, data maturity model, cmmi institute
    
CMMI Institute
Published By: CMMI Institute     Published Date: Mar 21, 2016
CMMI Institute®’s Data Management Maturity (DMM)SM framework enables organizations to improve data management practices across the full spectrum of their business. It is a unique, comprehensive reference model that provides organizations with a standard set of best practices to assess their capabilities, strengthen their data management program, and develop a custom roadmap for improvements that align with their business goals.
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CMMI Institute
Published By: Experian     Published Date: May 17, 2016
Every year, Experian Data Quality conducts a study to look at the global trends in data quality. This year, research findings reveal how data practitioners are leveraging and managing data to generate actionable insight, and how proper data management is becoming an organization-wide imperative. This study polled more than 1,400 people across eight countries globally from a variety of roles and departments. Respondents were chosen based on their visibility into their orgazation's customer data management practices. Read through our research report to learn: - The changes in channel usage over the last 12 months - Expected changes in big data and data management initiatives - Multi-industry benchmarks, comparisons, and challenges in data quality - And more! Our annual global benchmark report takes a close look at the data quality and data management initiatives driving today's businesses. See where you line up and where you can improve.
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Experian
Published By: Experian     Published Date: Nov 03, 2015
It is critically important for businesses today to leverage data as a strategic asset, instead of allowing it to become an obstacle. As more and more organizations are trying to make smarter, data-driven decisions, they are discovering that their data management strategy may not be as mature as it needs to be. One major shift we are seeing is the implementation of a Chief Data Officer. Experian Data Quality recently conducted a research study of more than 250 Chief Information Officers (CIOs) and Chief Data Officers (CDOs) in the US about their data management practices, and the explosion of the CDO role. Key insights in the report include: - Tips for overcoming typical data challenges within your organization - The changing data management landscape and its affect on the CIO - The new and growing need for the CDO - And more!
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Experian
Published By: SAS     Published Date: Apr 02, 2014
Featuring use cases of various big data strategies, this paper explores several approaches and techniques that could be right for your enterprise, including using emerging big data platforms and creating new technology for problems not addressed by current big data platforms. It also covers moving more computation to traditional databases and implementing data virtualization.
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data, data management, big data, white paper, sas
    
SAS
Published By: IBM APAC     Published Date: Mar 06, 2019
A multicloud world is quickly becoming the new normal for many enterprises. Learn how the multicloud world is changing the face of IT. Understanding cloud environments and making decisions about multicloud management can be complex. IBM has identified ten key pain points and related best practices that help organizations successfully navigate these transformations.
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IBM APAC
Published By: 123Together     Published Date: Feb 05, 2009
Email is the primary communication system and file transport mechanism used in organizations of all sizes. Email systems generate enormous amounts of content that must be preserved for a variety of reasons, including: -Compliance with local, state, federal and international statutory requirements - Electronic discovery requirements and best practices - Knowledge management applications - Disaster recovery and business continuity
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123together, it strategies, ediscovery, finra, regulation, security, finra, contact management, email, economy, stability, collaboration, green it, outsourcing, microsoft exchange, hosted exchange, mobile services
    
123Together
Published By: Zynapse     Published Date: Sep 10, 2010
A 26-page information rich whitepaper on the business benefits, challenges and best practices of Material Master Data Management
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm, mmdm, material, business intelligence, database development
    
Zynapse
Published By: SuccessFactors     Published Date: Aug 29, 2012
Compensation managers know that, although budgets are tight, top performers still insist on being rewarded. This complimentary SuccessFactors white paper shows how you can create a strong compensation program. Download it today.
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successfactors, sap, best practices, compensation managers, top performers, talent management strategy, reward management program, rewards program, incentive plan, effective rewards, compensation processes, compensation program, compensation plan, compensation practices
    
SuccessFactors
Published By: SAP     Published Date: Mar 02, 2017
Deploying a performance management system is a powerful catalyst for increasing employee and organizational performance. If not handled properly, however, organizations risk creating unnecessary administrative work which can diminish some of the benefits. A key challenge is to balance the tension between creating a fair and consistent evaluation process across the organization and measuring employee performance based on individual needs. What best practices should you follow to help strike the right balance? How have other leading organizations designed effective review forms and processes?
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SAP
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
This document will explore the challenges SMB IT faces today, how industry peers are addressing these challenges, best practices for these issues, and how IT professionals may be able to leverage HPE to achieve their goals.
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Hewlett Packard Enterprise
Published By: HPE     Published Date: Dec 23, 2015
This document will explore the challenges SMB IT faces today, how industry peers are addressing these challenges, best practices for these issues, and how IT professionals may be able to leverage HPE to achieve their goals
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HPE
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
More and more IT is becoming an important competitive tool and strategic resource for small and medium businesses. Learn how HP helps increase the productivity of IT staff without driving up costs through the use of the HP ProLiant Gen9 servers.
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best practices, business optimization, business management, productivity
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Productivity gains are related to the rapid adoption and optimization of applications and software. HP helps small and midsize businesses increase the productivity of their application investments through the use of the HP ProLiant Gen9 servers.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, productivity
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Mobility, social media, analytics and the cloud are revolutionizing how data is accessed, used, and secured for small to midsize businesses. With data security threats are on the rise, keep your business running with Hewlett Packard Enterprise.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, productivity
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
To compete in an era of mobility, big data, and always-on services, small and midsize businesses need to improve productivity and deliver new services fast. And that’s a problem if you’re living with servers that were not designed for today’s challenges.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, productivity
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, transformation
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
Big Data, cloud, and mobility are changing the way we do business and bringing more opportunities to small and midsized businesses (SMBs) than ever before. To create competitive differentiation and take advantage of these opportunities, you need to close the gap between what your business demands and what your IT systems can deliver.
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best practices, business optimization, business management, productivity, big data, cloud services, mobility
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
For small and midsize businesses, the realities of a dynamic marketplace and ever-changing customer expectations pose continual challenges and opportunities. Big Data, the cloud and mobility are changing the way information moves and connections are made across the organization, offering productive potential while promising competitive advantage. But adoption of these advanced technologies will require a transformation in the capacities, functions and methods of IT.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, productivity
    
Hewlett Packard Enterprise
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