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Published By: Great Bay Software     Published Date: Jul 16, 2018
"IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security"
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Great Bay Software
Published By: Amazon Web Services     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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Amazon Web Services
Published By: Cylance     Published Date: Jul 02, 2018
Matthew Coy, Safelite’s Vice President of Information Technology, is responsible for overseeing all aspects of the company’s IT infrastructure, including selecting, administering, and supporting technology products. The company handles personally identifiable information, including credit card information and insurance data collected from several sources, and must comply with insurance industry regulations and the Payment Card Industry Data Security Standard. Safelite is the target of constant external attacks. The organization experienced ongoing security issues stemming from infected software, drivebys and other malicious downloads. According to Matthew, “A lot of malware and email viruses were making it through the environment, all bypassing our email security and AV.” Not only were the security controls ineffective, the previous AV platform required nearly 150 hours per week to manage. Matthew knew Safelite needed to make a change, and fast. Having worked with Cylance® at two previous companies, he was confident CylancePROTECT® could significantly improve Safelite’s endpoint security. Read the full case study to learn about the results Cylance was able to deliver.
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safe, lite, cybersecurity, data
    
Cylance
Published By: Group M_IBM Q418     Published Date: Sep 25, 2018
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018. Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage? • Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once
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Group M_IBM Q418
Published By: SAS     Published Date: Oct 03, 2018
Because terrorists and other criminals are already using technology to carry out their missions, intelligence professionals need to access all available, appropriate information, to extract important elements and process, analyze and disseminate it quickly to keep ahead of potential threats. The scale, complexity and changing nature of intelligence data can make it impossible to stay in front without the aid of technology to collect, process and analyze big data. This paper describes a solution for how this information can be quickly and safely shared with access based on a user's organizational responsibilities and need to know.
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SAS
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
As businesses plunge into the digital future, no asset will have a greater impact on success than data. The ability to collect, harness, analyze, protect, and manage data will determine which businesses disrupt their industries, and which are disrupted; which businesses thrive, and which disappear. But traditional storage solutions are not designed to optimally handle such a critical business asset. Instead, businesses need to adopt an all-flash data center. In their new role as strategic business enablers, IT leaders have the responsibility to ensure that their businesses are protected, by investing in flexible, future-proof flash storage solutions. The right flash solution can deliver on critical business needs for agility, rapid growth, speed-to-market, data protection, application performance, and cost-effectiveness—while minimizing the maintenance and administration burden.
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data, storage, decision makers, hpe
    
Hewlett Packard Enterprise
Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Freshdesk     Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love. In this whitepaper, we detail how you can - Provide your agents with complete context by pulling data from your third party systems into your helpdesk - Reduce ticket volume and help customers help themselves by setting up a knowledge base - Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!
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Freshdesk
Published By: Commvault     Published Date: Jul 06, 2016
Email is the backbone of today’s corporate business processes. It lives as the primary communication vehicle internally between employees and externally with customers, vendors, partners and investors. It is arguably today’s most pervasive and critical business application within which is stored the most valuable business content. To protect this vital information while working to eliminate risk, lower management costs and improve business insight, companies require a comprehensive email archiving solution. This solution should not only work to effectively retain email information in a searchable repository, the best email archiving solutions also provide a smarter approach to collecting, retaining and accessing data so that it can deliver true business value.
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commvault, email archiving, data protection, email archiving solution, mailbox archiving, reduce bloat, o365, it management, storage, best practices
    
Commvault
Published By: SAS     Published Date: Jan 17, 2018
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens. Download this whitepaper for 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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SAS
Published By: Dell EMC     Published Date: Aug 17, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Dell EMC & Intel     Published Date: Mar 16, 2018
Your company is collecting more data than ever before; your customers’ pain points, habits, and desires all flow in and out of your business each second. To mine the most value from that data, and to get the answers you need at a competitive speed, you need to employ server solutions powerful enough to handle complex analytics software. In the Principled Technologies datacenter, we compared a legacy Dell EMC™ PowerEdge™ R720xd to the new PowerEdge R740xd (powered by Intel® Xeon® Scalable processors) in three storage configurations: with basic hard drives, with SATA SSDs, and with NVMe SSDs. Intel Inside®. New Possibilities Outside.
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Dell EMC & Intel
Published By: Acxiom Corporation     Published Date: Mar 12, 2014
In July 2013 Acxiom commissioned Forrester Consulting to evaluate how companies use the data they collect from their customers to make better decisions on their marketing campaigns by gauging their experiences and attitudes around their use of and future vision for using customer data across multiple marketing channels. In order to understand this topic, we conducted interviews with 11 executives representing a range of roles and perspectives, including consumer packaged goods companies, financial services organizations, and agencies.
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acxiom, forrester, data, marketing, marketing campaigns, cross channel, customer data, market research, targeting, data analytics, life cycle management
    
Acxiom Corporation
Published By: Akamai Technologies     Published Date: Aug 17, 2017
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
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cloud security, scale, data center, ddos
    
Akamai Technologies
Published By: SAS     Published Date: Apr 16, 2015
As big data shifts away from a more theoretical concept (only adopted by those on the leading edge), the fun can really begin. How do you prepare for more information than you’ve ever collected before? How can you manage this information with the same standards you applied in the past? These are questions that are causing both IT and business sides to start actively preparing for – and implementing – big data.
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SAS
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
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data lake, big data, analytics
    
IBM APAC
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: Entrust Datacard     Published Date: Jun 09, 2017
How are you balancing strong security and the customer experience? The European Union’s General Data Protection Regulation (GDPR) requirement is an opportunity to properly balance privacy and the user experience. Those who embrace it will distinguish themselves as a trustworthy and respectful custodian of their users’ data. Personal data plays an increasingly important part in providing the kind of appealing experience that brings users back time and time again. But, there’s a balance to be struck. Strong security is the best tool available for navigating the dichotomy between an appealing user experience and the risk posed by data breach; it allows the collection and management of personal data in line with the user’s expectations, and without jeopardizing the trust that is so important between them and you.
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Entrust Datacard
Published By: IBM APAC     Published Date: May 18, 2017
Today, everything computes. Intelligence has been infused into things no one would recognize as computers: appliances, cars, roadways, clothes, even rivers and cornfields. Tomorrow, many of these things will think, thanks to breakthroughs in cognitive computing. Even the things that don’t think themselves will continue collecting and reporting the massive quantities of data that feed cognitive systems.
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ibm, tss, cloud, mobile, appliances
    
IBM APAC
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