This ebook 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.
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice.
In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
Predictive analytics transforms organizations. Watch this video to see how predictive analytics can improve outcomes in four strategic areas critical to the success of your business:
- Customer satisfaction and retention
- More effective HR processes
- Fraud and threat detection and prevention
- Revenue growth and profitability
In this paper, you’ll explore how business analytics can form the foundation for a proactive threat management strategy.
- See examples of how different types of organizations are applying analytics.
- Learn practical steps you can take to combat threat and fraud in your own organization.
Security managers should evaluate MSSPs for enterprise scale operations, multinational and local presence, and effective threat management and compliance capabilities. Use this Magic Quadrant to evaluate MSSPs to support global service requirements, regional presence and leading-edge services.
Cybersecurity issues are no longer limited to the IT department; instead, they threaten every aspect of the organization and pose a significant threat to ongoing business continuity and reputation.
Ponemon Institute is pleased to present the results of Uncovering the Risks of SAP Cyber Breaches sponsored by Onapsis. The purpose of this study is to understand the threat of an SAP cyber breach and how companies are managing the risk of information theft, modification of data and disruption of business processes.
This report from IBM Emergency Response Services discusses four key trends in cybersecurity based on field experience in responding to client security incidents.
Reviewing a year of serious data breaches, major attacks and new vulnerabilities.
The IBM X-Force 2016 Cyber Security Intelligence Index offers a high-level overview of the major threats to businesses worldwide in 2015.
In today’s complex and distributed IT environments, identity and access management (IAM) programs do much more than simply manage user identities and grant access. This paper provides four key steps that can move you toward a more mature solution now.
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences.
Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes.
In this white paper, you’ll gain a better understanding of:
The difference between predictive and prescriptive analytics
How predictive and prescriptive actions complement one another to help you achieve optimized business decisions
IBM’s approach to creating a powerful end-to-end decision management system
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can.
This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to:
Establish timely and accurate insights into customer behavior.
Empower employees to do their jobs more effectively.
Encourage more repeat business and higher wallet share
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice.
In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
Read this paper to learn how your organization can more effectively:
Compete – Secure the most powerful and unique competitive stronghold
Grow – Increase sales and retain customers competitively
Enforce – Maintain business integrity by managing fraud
Improve – Advance your core business capacity competitively
Satisfy – Meet today's escalating consumer expectations
Learn – Employ today's most advanced analytics
....and finally, render your business intelligence and analytics actionable.
For more and more 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.
In fact, hybrid cloud is the new norm for IT. IDC says more than 80% of enterprise IT organizations will commit to hybrid cloud by 20171, and 70% of IT decision-makers say they will always have a mix of traditional IT and cloud architectures.2 With important applications and workloads architected across both on-premises and hybrid, public and private cloud environments, business and IT stakeholders must be able to access data with equal efficiency, reliability and speed—regardless of physical location, infrastructure type or time frame.
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
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
The risk reporting environment for banks has changed. Regulatory
imperatives that were largely driven by the financial crisis of 2007—
such as Dodd-Frank, Principles for Effective Risk Data Aggregation
and Risk Reporting (BCBS 239) by the Basel Committee on Banking
Supervision (BCBS), Comprehensive Capital Analysis and Review
(CCAR) and others—are impacting banks around the globe. These
imperatives are forcing banks to rethink and reinvent how their
systems integrate and how data from across the bank flows into
the aggregated risk and capital reports required by regulatory
agencies. Banks must be able to convey to agencies that the data is
complete, correct and consistent in order to establish that the reports
are trustworthy
To compete in today’s fast-paced business climate, enterprises need
accurate and frequent sales and customer reports to make real-time
operational decisions about pricing, merchandising and inventory
management. They also require greater agility to respond to business
events as they happen, and more visibility into business activities so
information and systems are optimized for peak efficiency and performance.
By making use of data capture and business intelligence to
integrate and apply data across the enterprise, organizations can capitalize
on emerging opportunities and build a competitive advantage.
The IBM® data replication portfolio is designed to address these issues
through a highly flexible one-stop shop for high-volume, robust, secure
information replication across heterogeneous data stores.
The portfolio leverages real-time data replication to support high
availability, database migration, application consolidation, dynamic
warehousing, master data management (MDM), service
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.
Today’s workloads are dynamic and power-hungry. Cloud requirements for
mission-critical workloads often change overnight – causing IT priorities to
shift, deadlines to tighten, and budgets to shrink.
Seconds matter, especially when it comes to the bottom line. And bottom
lines take brutal hits when companies haven’t properly established a
powerful and flexible infrastructure.
In the digital era, businesses in every industry are becoming technology companies. New business models such as
“product as a service” (in which traditional manufacturers and distributors are driving new revenue streams by
integrating software-based services into their offerings) and new operational models, such as collaboration, social
business, and mobile platforms, mean that nearly every company is deriving at least part of its revenue from cloudbased
solutions.
So, why are so many of these new cloud solution providers building their businesses on shaky foundations? The
truth is, when your business is based in the cloud, you need more than on-demand leased compute and storage
capacity. You need a cloud that is enterprise-grade, secure, and resilient. Equally important—and overlooked by
too many cloud solution providers—you need a cloud platform that is able to grow your business into the future,
supporting next-generation functionality like Artificial Intelligence (AI). No matter wh
