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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
Marketing and technology partners must collaborate as never before in order to delight and engage customers “in the moment.” Previously stove-piped functions are starting to work together to take a holistic approach to create great digital experiences at enterprise scale, but organizations see the need for more work to create relevant, integrated digital customer experiences in real time.IBM commissioned Forrester Consulting to discover how developers and marketers are working together to provide customers exceptional digital experiences reliably, quickly, and seamlessly.The study found that while the mandate to collaborate has been heard, there is still work to be done to move to the next level and put in place technology, processes, and culture to create digital customer experience in real time.
Thrill customers and empower employees with omni-channel, socially-infused digital experiences to drive better business outcomes
IBM Customer Experience Suite features rich, integrated capabilities for managing web content, rich-media assets, real-time social communications, robust customer self-service capabilities, business analytics and mobile device delivery
IBM Employee Experience Suite enables employees to easily find and share relevant information across multiple platforms, diverse geographies with multiple languages, and within the context of business applications
Organizations are looking to use DXPs as they move from web-centric to more pervasive, multichannel digital experiences. This Magic Quadrant will help those responsible for a range of customer-, employee- and partner-facing initiatives find the most suitable vendor for their needs.
Learn from industry leaders on how to maximize omni-channel fulfillment, eliminating unnecessary costs and optimizing souring decisions.
Read this ebook to learn about:
How changing customer expectations require anywhere, anytime fulfillment of their orders and what this means for retailers
How you can manage the rising cost and complexity of these increasing demand
How AI technology can help you identify, and therefore minimize these costs, and determine the best sourcing decisions
In this report, Forrester reveals how order management systems (OMS) solve the omni-channel deficiencies of traditional systems, allowing retailers to orchestrate complex order processing scenarios - from the point of capture, through the supply chain, and to the point of fulfillment. Read the report today.
The implementation of a distributed order management (DOM) system no longer has to be a daunting endeavor. Gartner surveyed 17 DOM software vendors and interviewed 25 retail clients with recent DOM implementation experience to develop a best practices guide.
Read the report to understand the keys to a successful DOMS implementation.
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
IBM SPSS predictive analytics solutions help uncover key predictors that lead to online student success or failure. Identifying specific issues early, target intervention measures for at-risk students, and take the appropriate steps to help improve online student graduation rates.