Published By: Cisco EMEA
Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market.
Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives.
To find out more download this whitepaper today.
Car data consumption is critically important to auto manufacturers. As more vehicles are produced with built-in infotainment systems, the cost of supplying them with live information and real-time updates via a data connection grows ever greater.
Auto manufacturers need to be able to enhance the driving experience with smart traffic, navigation, and entertainment services, while reducing costs and data volumes.
HERE is the world’s leading provider of traffic data to the automotive industry. This eBook shows how HERE optimizes traffic solutions and it outlines how data use modelling, standardization, and good data management can help reduce usage.
A multi-cloud world is quickly becoming the new normal for many enterprises. But embarking on a cloud journey and managing cloud-based services across multiple providers can seem overwhelming.
Even the term multi-cloud can be confusing. Multi-cloud is not the same as hybrid cloud. The technical definition of hybrid cloud is an environment that includes traditional data centers with physical servers, private cloud with virtualized servers as well as public cloud provisioned by service providers. Quite often, multi-cloud simply means that an organization uses multiple public clouds from many vendors to deliver its IT services. In other words, organizations can have a multi-cloud without having a hybrid cloud, or they can have a multi-cloud as part of a hybrid cloud.
Published By: Workday
Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
"Riteway Sales and Marketing, who helps many Southeastern supermarkets execute marketing strategies, needed an intuitive solution to visualize data in multiple ways, including geographic coding that could map gathered data to store locations.
TIBCO® Spotfire® for Amazon Web Services cloud met their requirements and exceeded them. After deploying this solution, Riteway’s Director of Insights and Marketing, Elisa Westlund, claimed that their time-to-insight rose to 93% faster than it was before using it. When analyzing a product category, they found that what used to take a week for their team to accomplish could now be completed in only hours.
Download this case study to learn more about TIBCO Spotfire’s benefits, including:
• Riteway’s claim of time-to-insight that rose 93% faster than before using TIBCO Spotfire
• A complete return on investment in just one year
• 100% adoption among their business users, due to TIBCO Spotfire’s ease of use"
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease.
Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed.
Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn:
• How to generate relevant, actionable insights from any data, anywhere
• Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud
• How to
Online, mobile, omnichannel, untethered, data mining, automation, and remote
communication are all now buzzwords surrounding the new technologies and resources
financial institutions have to help them re-invent their branch experience. Capabilities are
available today that were not imagined a decade ago. This is an exciting time for those
institutions that can look to the future and enhance their offerings.
While technology is driving change, it can also be a tremendous challenge for financial
institutions as they work to keep pace and even take advantage of the dramatic shift in
customer needs and expectations. Millennials, baby boomers, small businesses – all are
important market segments with very different wants and needs. Driven by technology,
the new demand is for a complete online presence, complemented by more flexibility in
personalized services, and specialized expertise available in every branch.
Suffice it to say, financial institutions of all sizes and in every geography a
Consumers worldwide continue to adopt and use technology in their shopping experience.
Faced with rising customer expectations and increasing competitive pressures, retailers
now are prioritizing in-store innovation. Many retailers have adopted multichannel
implementations, in which mobile, web, and in-store shopping are enabled but not delivered
consistently to the customer. The next step in this evolution is an omnichannel strategy, now
being deployed by some retailers, which presents a consistent shopping experience across
mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end
infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty
programs, personalized recommendations, inventory management, etc.) to improve many
aspects of store and enterprise operations.
An omnichannel strategy relies on several core and supporting technologies. The key factors in
evaluating any omnichannel-enabling solution includ
Published By: Infosys
Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next.
Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
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.
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU.
IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running.
Fraud is costing government programs more than ever. For example, Medicaid lost $36 billion in 2017 – 10 percent of its total expenditures – which represents a 27 percent increase over 2015. As explored in this paper, fraud numbers are on the rise because fraud rings are not only getting more effective at what they do, but because it’s easy for them to find soft targets across multiple government programs simultaneously. Learn about how next-generation analytic tools from SAS cut across data and program silos and empower investigators to go on the offensive with fraud operators – without disrupting the efficient and timely delivery of benefits, services or tax refunds.
The arrival of 3rd party data is changing the landscape of online targeting. There is an influx of companies offering these services. But, what works with your business model? How do you evaluate the options?
THE QUESTIONS YOU NEED TO KNOW AND WHY:
• Is there high fidelity data?
• Is the provided data stable?
• Is your partner built to last?
• Does your partner use a transparent methodology?
Download our guide to evaluating data providers and find out the importance and relevance of these terms and conditions.
Published By: Verisign
Published Date: May 31, 2017
Verisign has a unique view into distributed denial of service (DDos) attack trends, including attack statistics, behavioral trends and future outlook. The below data contains observations and insights about attack frequency and size derived from mitigations enacted on behalf of customers of Verisign DDoS Protection Services from January through March 2017.
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
In the financial services industry (FSI), high-performance compute infrastructure is not optional; it’s a prerequisite for survival. No other industry generates more data, and few face the combination of challenges that financial services does: a rapidly changing competitive landscape, a complex regulatory environment, tightening margin pressure, exponential data growth, and demanding performance service-level agreements (SLAs).
At the heart of the Data Solved promise are three core attributes - People Powered, Technology Focused and Infrastructure Invested. We leverage our strong, diverse team of more than 700 employees to enable our Powered by People motto and deliver on our promise. With 24 data centers on four continents, we are poised to deliver world-class infrastructure and value added technology services to our more than 1,000 customers in North America, Europe, Asia and Australia.
The new Multicloud Storage for Dummies consists of five short chapters that explore the following:
- How the multicloud storage model aligns with modern business and IT initiatives
- Common barriers to cloud adoption and how a multicloud storage model addresses them
- How to build a multicloud data center
- What to look for in multicloud storage services
- Real-world multicloud use cases
Published By: HPE Intel
Published Date: Mar 14, 2016
The ever-rising tide of demands on IT organizations is creating constant pressure on their leaders to upgrade or replace their outmoded legacy systems with new infrastructure technologies that will allow them to keep pace with the speed of business. It is no longer sufficient to manage basic business applications and resources such as ERP, email, and silos of heterogeneous data. The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility.
Published By: HPE Intel
Published Date: Mar 15, 2016
To free up staff resources to focus on strategic business initiatives, many IT leaders are considering engaging a partner to handle ongoing data center maintenance and optimization. But, too often, data center management services fall short of expectations. Standard care services may be limited in scope, and may not support the range of legacy hardware already in the data center. Conversely, complex managed or outsourced services may involve a costly, fully-customized engagement, in which costs are unpredictable, and control is wrested away from the enterprise. Finally—and perhaps most importantly—many data center management service providers seem to lack the innovative spark that will ensure continuous improvement to data center operations.
Published By: HPE Intel
Published Date: Mar 15, 2016
Accelerate your journey to an all-flash data center with Hewlett Packard Enterprise Storage Consulting solutions.
Slash costs and double performance with HPE 3PAR StoreServ All-flash arrays. Now you no longer need to choose which apps to take to flash; take them all and you won’t regret it. We deliver maximum performance, highest availability, Tier-1 data services, ease of management, and robust data protection at the lowest total cost of ownership (TCO) on the market when you engage with HPE Storage Consulting to provide an end-to-end all-flash solution.
To overcome the challenges and risks of the digital era, while positioning their businesses for success, SMBs need to partner with professional services organizations with the expertise that can safely guide them through achieving the following six key IT business initiatives:
A strong information security framework (for external and internal threats)
24x7 application availability
Pervasive, end-to-end data protection
End-to-end professional services
Enterprises are looking to innovations like big data, cloud-based services and mobile apps to improve decision making and accelerate business results. But legacy IT implementations—independent compute, storage and networking platforms, veneered with a hypervisor— often can’t deliver on the increased agility, scalability and price performance demands of this new era of IT.
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.