data projects

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Published By: Alert Logic and Rackspace     Published Date: Jun 20, 2014
To comply with today’s government and industry mandates, such as PCI, Sarbanes-Oxley, HIPAA and GLBA, log data must be collected, regularly reviewed and archived. In addition, regular analysis and forensics can also be performed on the same log data to enhance overall security and availability. This paper discusses the challenges associated with effective log management and enables you to better define best practices and requirements for log management projects, as well as log management and review solutions.
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alert logic, rackspace, log management, automated log management, pci, hipaa, glba, log data, security, it management
    
Alert Logic and Rackspace
Published By: Alert Logic and Sungard Availability Services     Published Date: Jun 20, 2014
To comply with today’s government and industry mandates, such as PCI, Sarbanes-Oxley, HIPAA and GLBA, log data must be collected, regularly reviewed and archived. In addition, regular analysis and forensics can also be performed on the same log data to enhance overall security and availability. This paper discusses the challenges associated with effective log management and enables you to better define best practices and requirements for log management projects, as well as log management and review solutions.
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alert logic, sungard, log management, automated log management, pci, hipaa, glba, log data, security, it management
    
Alert Logic and Sungard Availability Services
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
• Do you want to win with AI in the hybrid, multi cloud world? Are you tackling data, algorithms and apps to drive business value from AI? We got you covered. Come and learn how you can simplify and scale your AI projects on Watson Studio. Hybrid cloud use cases spanning cloud, desktop and local are featured. Key Takeaways: • Open, trustworthy and secure approach to put AI to work for business • Go live and scale faster with AI-infused platform • Build train and deploy models across hybrid, cloud environments – including popular public cloud environments like AWS and Azure • Flexibility for cloud, on-premise and desktop deployment, bringing algorithms to wherever data resides • Progressing your AI/data science with Watson Studio • Register now and get ready to simplify and scale your AI investments to work for your business.
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Group M_IBM Q119
Published By: SAP     Published Date: Feb 21, 2008
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
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sap, data architect, data migration, business objects, information management software, bloor, sap r/3, application, enterprise applications, data quality management, master data management, mdm, extraction, transformation load, etl, database development, data integration
    
SAP
Published By: Numara Software     Published Date: Jul 16, 2009
Delivering world class customer service in today’s fast paced business environment is becoming more difficult as information and data requires instant access.
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footprints, numara, blackberry, mobile, service desk, on-the-go, slas, service level agreements, smartphone, off-line synchronization, critical data, projects, surveys, workflow, service desk, tracking, billing, accounts receivable, automated integration, automated tools
    
Numara Software
Published By: TeamQuest     Published Date: Nov 13, 2014
Learn how to drive success with business metrics, data, and automated forecasting and see how you can increase staff productivity and free up time for other projects.
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teamquest, enterprise rent-a-car, business metrics, data, automated forecasting, capacity management, service optimization, itso, it analytics, show back, charge back, virtualized it, data management, business technology
    
TeamQuest
Published By: Cisco     Published Date: Sep 07, 2016
This white paper highlights the maturation of big data technologies and strategies, and how companies are transitioning from one-off pilot projects to powerful enterprise capabilities that can be leveraged on a daily basis.
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Cisco
Published By: Oracle Primavera     Published Date: Feb 10, 2015
Organizations with a strategy execution system are three times more likely to achieve success. Fortunately there are ways to improve your chance of producing relevant, executable strategy. In this executive brief, Harvard Professor Robert Kaplan provides practical advice on how to define strategic outcomes, measure your projects’ strategic success, and bind execution to strategy. He discusses project and portfolio management tools that can reach across the entire organization, capturing data on projects’ content, objectives, performance, and spending.
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oracle, integrating strategy, strategic projects, project management
    
Oracle Primavera
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
Over 90% of organizations believe that the GDPR will impact the way they collect, use and process personal data. It’s one of the biggest changes to hit the digital privacy landscape in 20 years. And, in May 2018, the EU General Data Protection Regulation (GDPR) will introduce maximum fines of €20 million for non-compliance.
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digital privacy, data protection, gdpr, organization optimization, technical challenges, data regulation, anonymize data, privacy projects
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
The key tenets of protecting data privacy are: knowing where your data resides, understanding who has access to the data and what are they doing with it, and knowing how the data is being used internally that may result in non-compliance. Additionally, most compliance projects are major, company-wide initiatives and must be managed properly to meet deadlines and keep costs in check.
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classify data, gdpr, risk reduction, breach protection, anonymize data, privacy projects, data management
    
CA Technologies EMEA
Published By: IBM     Published Date: May 28, 2014
Read the whitepaper to find out how one client improved business value of their data by implementing InfoSphere Optim processes and technologies.
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ibm, data lifecycle management, infosphere optim, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, lifecycle management
    
IBM
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
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ibm, big data, trusted data, data management, data solutions
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"Businesses understand more than ever that they depend on data for insight and competitive advantage. And when it comes to data, they have always wanted easy access and fast performance. But how is the situation different now? Today, organizations want those elements and more. They want IT to strip away the limitations of time with faster deployment of new databases and applications. They want IT to reduce the limitations of distance by giving remote and branch offices better and more reliable access. And in a global world where business never stops, they want IT to ensure data availability around the clock. If IT can deliver databases and applications faster, on a more automated and consistent basis, to more locations without having to commit onsite resources, IT will be free to focus on more strategic projects."
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Oracle PaaS/IaaS/Hardware
Published By: SAS     Published Date: Mar 20, 2019
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
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SAS
Published By: IBM     Published Date: Oct 10, 2013
Virtualization is one of the most highly demanded of all IT projects this decade because it enables enterprises to reduce capex and opex costs and at the same time increase business efficiency and agility. However, implementing, supporting, and managing virtualization can often be difficult tasks, especially as deployments increase in scale and complexity and impact more areas of the datacenter. These more complex infrastructures often require highly skilled engineers with in-depth business knowledge and systems management capabilities. Projects such as infrastructure optimization and automation initiatives for self-service provisioning are key because they enable enterprises to streamline business processes and utilize cloud strategies and mobility solutions. IDC shows how partnering with experts who can implement, optimize, support, and manage virtualized environments may be the right course of action. By utilizing partners, enterprises will be able to avoid some of the potential pit
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virtual environment, business initiatives, maximize initiatives, datacenter, complex infrastructure, business efficiency, business agility, deployments, automation initiatives, cloud strategies, mobility solutions
    
IBM
Published By: APC by Schneider Electric     Published Date: Jan 21, 2016
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center.
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cbs interactive, data center, reference design, data security, power and cooling, infrastructure management
    
APC by Schneider Electric
Published By: IBM     Published Date: Jan 14, 2015
Big data has been big news in recent years. Organizations recognize that they must now begin to focus on using big data technologies to solve business problems. The pressure is on for organizations to move past the discussion phase toward well-planned projects.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics, data center
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management, storage, data management
    
IBM
Published By: IBM     Published Date: Jul 08, 2015
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : 
    
IBM
Published By: SAS     Published Date: May 04, 2017
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
It’s there for the taking – real-time information about every physical operation of a business. All you need is a key: data analytics.  This paper is based on Blue Hill Research’s interviews of three organizations – a US-based oil and gas company, a US municipality and an international truck manufacturer – each of which heavily invested in IoT analytics. Focusing on the key themes and lessons learned from their initiatives, this paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects.
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SAS
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