Sprawl isn’t just a problem for cities. IT sprawl can hurt organizations, too. If left unchecked, multiple systems and platforms can cause inefficiency to rise and customer satisfaction to fall. Instead, think like an urban planner and manage growth with a master plan. In this white paper, see how you can put IT sprawl in its place with a single, scalable information management platform.
This report looks at the biggest changes in firms’ expectations of their chief information security officers (CiSOs) and provides specific examples of how top information security professionals rise to those occasions.
With the proliferation of health and fitness data due to personal fitness trackers, medical devices and other sensors that collect real-time information, cognitive computing is becoming more and more important. Cognitive computing systems, with the ability to understand, reason and learn while interacting with human-generated data, enable providers to find meaningful patterns in vast seas of information. IBM Watson Health is leveraging the power of cognitive computing to help providers make data-driven decisions to improve and save lives worldwide, while controlling healthcare costs. Read our whitepaper and learn about the new era of cognitive computing and how it can improve health outcomes, optimize care and engage individuals in making healthy choices.
"Industry experts predict that successful businesses will soon become 100% digital for all transactions. The key challenge is how to “go digital” in the right ways. For most companies, it will be an incremental journey.
TodaysGeneralCounsel.com suggests that organisations should focus on a broad enterprise-wide information governance strategy developed by IT, legal, records and business stakeholders. Doing so improves governance, risk management and compliance programs.
This best practices paper outlines seven important ways that legal teams can make meaningful progress in their digital transformations."
For decades, the financial services industry has endured constant change
and uncertainty, from the depths of a financial crisis to widespread
regulation overhauls. With the advent of more advanced cybersecurity
threats, the industry has responded with rapid digital transformation to
remain competitive while also pushing the envelope. Today, managing
and mitigating cyber-related risks not only draws government scrutiny, but
increased consumer scrutiny as well, with longstanding brand reputations
anchored to institutions’ ability to protect its most sensitive data. In a
recent survey of Americans, financial information was considered by
consumers to be their most valuable personal information, worth even
more than personal or family photos and videos. For consumers, failing
to protect their data is a grave violation of trust, to the point where 72%
would consider leaving their current financial institution if their sensitive
information was taken hostage by ransomware.1
Not only does the
As more pressure is placed on the finance team to provide meaningful insights more frequently, it is becoming increasingly necessary to speed up business processes, as well as have immediate access to the most up-to-date information. The traditional expense reporting process is a drain from both perspectives.
Using software to manage employee expenses can provide a more efficient means of managing the process, however most solutions are simply a digital version of the traditional paper process. This can limit the amount of time savings you can gain.
This paper will demonstrate the time savings you can accomplish by implementing a real time expense reporting solution versus one that relies on employee generated expense reports.
Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
The diversity and bureaucratic nature of government agencies have complicated communication for decades. But today digital technologies offer a path to connectivity and information sharing that could help break the gridlock. Innovative mobile and field force automation (FFA) technologies are helping state and federal government agencies break down the walls that hindered cooperation and decision making between offices and field personnel.
This document is designed to help ensure that your mobile device platform selection and processes provide the power, reliability, and flexibility you need to achieve your mission — in the office, in the field, or ten flights up in the air.
Les informations suivantes doivent servir de ressources aux directeurs financiers qui dirigent ou assistent leur organisation tout au long de sa migration vers le cloud.
Elles ont pour objet de présenter les motivations, les coûts, les risques et les avantages de l'adoption du cloud, et de soulever des questions importantes en matière d'effectifs et de technologie, qui s'avèrent essentielles à la réussite de cette adoption. Elles visent également à permettre de mener des analyses de rentabilité, en mettant en valeur des mesures et des indicateurs spécifiques aux environnements cloud, capables d'influencer les résultats.
Les conseils fondamentaux qui sont fournis sont tirés de conversations et d'entretiens directs entre Amazon Web Services (AWS) et les directeurs financiers d'entreprises clientes, qui représentent un large éventail de secteurs d'activité.
Published By: Teradata
Published Date: Jan 16, 2015
Companies that use SAP® need to have a method to access all valuable information that is recorded in order to make the best business decisions and establish a sustainable competitive advantage. With Teradata Analytics for SAP®, Lamb Weston, a global frozen potato product producer, has been able to generate their business intelligence reports quickly and effortlessly.
BI that lets you focus on running the business…Download now!
Published By: Teradata
Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs.
This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
Find out why the Council believes that organizations that actively shape their cloud deployment strategies and extend strong information governance practices into the cloud will maximize their ability to leverage information for business advantage.
Be more productive, collaborative, and get more done faster using Cisco WebEx Meeting Center — the proven industry leader in web and video conferencing. As a FedRAMPcompliant service, you can use Cisco WebEx to hold regular meetings with anyone — regardless of location.
Manage projects, host meetings, and make faster, more informed decisions by keeping everyone on the same page with meetings that allow everyone to see, hear, and view the same information at the same time. And host engaging and creative sessions with colleagues, internal teams and other agencies.
This IBM-commissioned profile of government information management professionals examines the challenges of dealing with the increase in digital and unstructured content as well as the roles that shared capture service and improved case management.
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age.
The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies.
The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselves, to respond to the market.
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.
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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. In many cases, these
systems are no longer up to the task—so it’s
time to make a decision. Do you use more staff
to keep up with the fixes, patches, add-ons and
continual tuning required to make your existing
systems meet performance goals, or move to a
new database solution so you can assign your
staff to new, innovative projects that move your
Known by its iconic yellow elephant, Apache Hadoop is purpose-built to help companies manage and extract insight from complex and diverse data environments. The scalability and flexibility of Hadoop might be appealing to the typical CIO but Aberdeen's research shows a variety of enticing business-friendly benefits.
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.
As the information age matures, data has become the most
powerful resource enterprises have at their disposal. Businesses
have embraced digital transformation, often staking their
reputations on insights extracted from collected data. While
decision-makers hone in on hot topics like AI and the potential of
data to drive businesses into the future, many underestimate the
pitfalls of poor data governance. If business decision-makers can’t
trust the data within their organization, how can stakeholders and
customers know they are in good hands? Information that is not
correctly distributed, or abandoned within an IT silo, can prove
harmful to the integrity of business decisions.
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure.
Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using
separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.