Published By: Red Hat
Published Date: Jun 23, 2016
It’s a digital world and you’re going to have to provide software services, whether to service the internal needs of your business or the demands of your customers. Doing so isn’t optional. The effective use of technology delivers business value.
In today’s application economy, every business is a software business. To respond to change quickly and confidently, deliver value faster than the competition and build high-quality products your customers want, you need to put agile development at the center of your business.
The Travis Perkins Group is a leading supplier of building materials to the UK’s building and construction industry. For more than 200 years, the company has grown to deliver more than 100,000 products through 2,000 branch and store locations nationwide. Changing market demands, shareholder expectations and competition demand that the company continually enhance its performance. Yet, changing more than 200 years of tradition can be complicated. Traditional planning practices had led the company down the road to a bureaucratic project management office (PMO), and with the introduction of agile and CA Technologies, the once controlling environment has shifted into a service-oriented centre.
The application economy has forced businesses to transform. To capture new growth opportunities, enterprises are opening up and sharing select data and applications with developers, partners, mobile devices, the cloud and the Internet of Things (IoT). One of the byproducts of this transformation is the discovery that legacy data has value in the application economy—so much so that new revenue opportunities emerge as this data is used in new ways.
The rise of the application programming interface (API)
represents a business opportunity and a technical challenge.
For business leaders, APIs present the opportunity to open new
revenue streams and maximize customer value. But enterprise
architects are the ones charged with creating the APIs that make
backend systems available for reuse in new Web and mobile apps.
Published By: Carbonite
Published Date: Apr 09, 2018
The core technology behind Disaster Recovery as a Service (DRaaS) has evolved for decades. More
recently, DRaaS has linked to the cloud, and finally hit its stride. Today it can provide unprecedented
availability options to companies who don’t have secondary data centers dedicated to business
continuity. Before now, only IT teams with additional IT budget, staff and geographic locations could
effectively hedge against downtime, and disasters.
But today’s DRaaS means that businesses of all sizes have the peace of mind that comes with knowing a
replica of their data and systems is hosted at a remote site that they can fail over to—without bearing
any of the infrastructure costs or maintenance responsibilities. All infrastructure and maintenance is
the responsibility of the DRaaS provider. And the technology ensures that a replica is not only available,
but always current and immediately available. This attractive value proposition led Gartner to predict
that global DRaaS revenue will rea
Continuous testing is the practice of testing across every activity in the SDLC to uncover and fix unexpected behaviors as soon as they are injected. Continuous testing is the embedding of testing as a fundamental and ongoing aspect of every activity through the application lifecycle, from requirements through production, to ensure the business value is being achieved as expected.
As the pace of business continues to quicken, companies are starting to recognize that to stay competitive the process of developing and releasing software needs to change. Release cadence has greatly accelerated. There is no occasion anymore for a six- to 18-month find-and-fix turnaround in which the customer will find the delay acceptable. Things need to move faster, and they need to be ready and perfect faster.
Download this whitepaper to find out how CA Technologies can help with your Continuous Testing.
IDC has put the business value of the Oracle Exadata to the test by interviewing eight customers. They reported better business outcomes and efficiencies as a result of improved database performance, scalability, and reliability. The resulting whitepaper also reveals business value highlights, such as 429 percent five-year ROI, US$222,000 additional revenue per 100 users, and 94 percent less unplanned downtime.
Published By: Cognizant
Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms.
Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
Business decision making is undergoing a data-infused renaissance.
Organizations are tired of the limitations of spreadsheets and
dealing with long IT business intelligence (BI) development cycles
just to gain access to the data they need now. Fortunately, with
the advent of visual analytics and discovery tools (many offered
in the cloud), the journey to data insight is getting simpler and
faster. Rather than trying to divine meaning from a group of
predefined reports or simple static dashboards, visual analytics
helps users gain insights from data more quickly using intuitive data
visualization. Increasingly, visual analytics tools provide easy-touse
data preparation features for better data access. They support
collaboration, mashups, and storytelling.
TDWI Research sees growing interest in applying more modern,
up-to-date tools for working with data.
To support digital transformation imperatives, organizations are increasingly exploring DevOps style approaches for the continuous delivery of high quality software. Unfortunately, however, many enterprises remain burdened with accumulated technical debt and legacy wasteful practices – waste that can quickly inhibit the flow of value to customers and the business. Lean thinking provides organizations with a framework by which to quickly identify all forms of waste impacting the flow of value, which DevOps practitioners can apply in a software development context to quickly pinpoint and eliminate 8 elements of waste across people, process and technology dimensions.
This paper presents the 8 elements of waste framework, strategies needed to identify and eliminate waste, and the metrics needed to measure effectiveness.
Freeform Dynamics Executive Briefing Guide - Orchestrating the DevOps Tool Chain: An enterprise-level approach to continuous delivery.
Dale Vile says that business stakeholders are increasingly looking for faster and more frequent delivery of high-impact, high-quality output from IT teams. DevOps is an approach designed to enable the rapid and continuous delivery of value to the business to support the needs of the digital world, he adds. Open source software tools can help organizations adopt this DevOps approach but can cause efficiency, complexity and scalability issues, so Dale believes it is helpful to create a consistent orchestration layer using an enterprise class release automation solution.
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.
Managing a large datacenter is a costly, complicated activity for any enterprise, but when that datacenter also includes a number of database servers, and when database performance is critical, those costs and complications can multiply. A recent study from IDC explains simple tips to quantify the value of Oracle Exadata Database Machine for your own business. Discover how to deliver new business applications faster.
Business and IT executives should not have to choose between their desire to innovate for future growth and the desire to avoid disrupting current operations. Enterprise innovation that embraces and extends existing infrastructure and applications is possible through modern software architectures such as web services and SOA – as long as those investments perform competitively when measured against alternative platforms and they are able to be modernized to participate in these architectures.
Hewlett-Packard (HP) is unique in this EMA Radar in its ability to combine two threads – a single analytic overlay as embodied in its Service Health Analyzer (SHA) product, and a broader suite solution optimized for HP to participate in all three use cases here with maximum functional impact. This is not entirely a black-and-white situation, as SHA does leverage and currently largely depends on integration with HP Business Service Management 9.1, which is itself a suite. But SHA can assimilate other third-party sources, checks out brilliantly in early-phase deployments in terms of time-to-value and analytic power, and is the lead reason for HP’s strong Value Leader showing in technical performance management.
When it comes to evaluating software investment decisions, such as on- premise vs. cloud-based solutions, many factors must be considered. In particular, pay attention to four key areas: support for business strategy, operations, security, and cost.
Published By: Genesys
Published Date: Oct 16, 2013
Earlier this year, Gartner released the 2013 Magic Quadrant for Call Center Infrastructure, an annual report that analyzes call center infrastructure vendors for completeness of vision and ability to execute.
Explore and compare contact center solutions from today's top vendors and decide which solution is right for you.
This is the fifth consecutive year that Genesys has been named a worldwide Leader for Contact Center Infrastructure. The Genesys Customer Engagement platform (referred to as the Customer Interaction Management or ‘CIM’ platform in the report), is the industry’s most complete platform on which companies can deploy an all-in-one, end-to-end scalable contact center
Get the 2013 Gartner Magic Quadrant for Contact Center Infrastructure now!
The cost of ineffective customer service visits isn't just in money: the greater cost is in customer satisfaction. When a mobile workforce employee doesn't arrive on time, is missing equipment, or doesn't resolve the issue on the first visit, it leads to customer dissatisfaction, lost business, and today, public complaints in the media and social networks. Every single service organization understands the crucial value of great customer service. Every single visit to a customer is critical. In this paper, we reveal the 3 steps to a great visit every time.
"In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include:
• How to ensure that your Big Data projects will drive clearly defined business value
• The operational challenges each Big Data initiative must address
• The importance of using an enterprise approach for Hadoop batch processing