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By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
As organizations seek to extract more strategic value from their data, many are starting to view data governance as an enabler of insight rather than an impediment to its creation. This report explores a leading approach to data governance and the impact it can have on today’s most data-rich organizations.
Tags : data governance, data-rich organizations
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
For data-driven businesses, cloud can be a boon. Data can be found, processed and managed on the cloud without an investment in local hardware infrastructure, but what does that mean to information trust and governance? When data comes from cloud-based sources, IT needs a plan for data integration and security. Download this insightful white paper and learn the four key priorities you must consider when developing your IT strategy to promote good hybrid information governance. Learn the blend of process, organizational and technical enablers that will allow you to move to a hybrid environment with speed and confidence.
Tags : data-driven business, cloud, information trust, information governance, data integration, data security, it strategy
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Feb 01, 2018
Client-ready, globally applicable, a document setting out the IBM journey to GDPR Readiness
Tags : gdpr, compliance, data protection, personal data
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
Internally developed software applications support the most sensitive and strategically important business processes of most enterprises. Yet application security is one of the most neglected fields of cybersecurity.
Tags : risk-based application security, security management, application security, software applications
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
Are you up-to-speed with the latest trends in mobile and Internet of Things (IoT) application security testing? Our recent Ponemon Institute study reveals key findings about organizations' ability to protect their mobile and IoT apps. Read our report to learn how well you stack up against your peers in securing your most critical mobile and IoT applications.
Tags : iot, ponemon institute, mobile application security, application security
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
IBM retained its position as a "Leader" in the 2017 Gartner Magic Quadrant for Application Security Testing. Read our complimentary version of the Gartner report to learn: Critical trends in the Application Security Testing market. Why IBM maintained a Leadership position in a report that spanned 18 Application Security vendors. Detailed criteria that determine how all of the vendors are positioned in the Magic Quadrant.
Tags : ibm, application security, gartner, application security testing
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
Keeping sensitive data secure in the age of Cloud computing. Learn how IBM Security Guardium helps protect your data with scalable monitoring and protection in all kinds of cloud and hybrid cloud environments.
Tags : protecting data, ibm security, guardium, cloud enviornments, hybrid cloud enviornment
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
Get enterprise-class encryption to help meet regulatory demands and secure data in on-premises, cloud and hybrid cloud environments.
Tags : encryption, regulatory demands, ibm encryption
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 17, 2018
IBM Security Guardium tools can be the cornerstone of an enterprise’s compliance initiative for GDPR personal data protection requirements.
Tags : gdpr, compliance, data protection, personal data
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Tags : database, applications, data availability, cognitive applications
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
Tags : cloud, database, hybrid cloud, database platform
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Tags : database, streamlining, it infrastructure, database systems
     Group M_IBM Q1'18
By: IBM     Published Date: Oct 17, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive (MiFID2). Many of these new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data
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     IBM
By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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     IBM
By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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     IBM
By: IBM     Published Date: Nov 08, 2017
This paper gives key considerations when making a strategic commitment to a database platform.
Tags : ibm, cloud, cloud computing, database
     IBM
By: IBM     Published Date: Nov 08, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Tags : ibm, cloud, cloud computing, database, ibm db2
     IBM
By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
Tags : ibm, cloud, cloud computing, database, ibm db2
     IBM
By: IBM     Published Date: Nov 08, 2017
In this paper, you'll learn how organizations are adopting increasingly sophisticated analytics methods, that analytics usage trends are placing new demands on rigid data warehouses, and what's needed is hybrid data warehouse architecture that supports all deployment models.
Tags : data warehouse, analytics, ibm, deployment models
     IBM
By: IBM     Published Date: Nov 08, 2017
This paper gives key considerations when making a strategic commitment to a database platform.
Tags : ibm, cloud, cloud computing, database
     IBM
By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
Tags : ibm db2, cloud, on-cloud applications, mixed-workload database
     IBM
By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Are you ready to tackle Business Process Management (BPM) for your enterprise? Do you want to improve efficiency, enhance agility, and also be more profitable? If so, you’ve come to the right place. BPM is an approach toward managing how an organization operates so it better meets the needs of clients. BPM enables organizations to be more efficient and more capable of change. BPM is exactly what your organization needs to meet the challenges of the modern business climate.
Tags : bpm, business process management, business climate, operation
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
Tags : business content, volume, cloud-based, enterprise content management, ecm
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
More so than ever before, agility matters. A shifting competitive landscape along with heightened customer demands, technological transformations, digital disruptions and a host of other trends, combine to create distinct challenges for business operations executives. Achieving and maintaining a competitive edge in this climate requires an advanced framework for pivoting whenever needed—with minimal cost, maximum efficiency and optimal outcomes. The question for every enterprise in the current environment: Do we have the required agility to drive decision-making capabilities that will continuously sharpen our competitive edge?
Tags : operational agility, technological transformations, digital disruptions, decision management
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 23, 2018
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Tags : db2. blu accelaration, big data, data analytics, disaster recovery
     Group M_IBM Q1'18
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