As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
This is a time of rapid and dramatic progress in the cloud communications landscape. New technological innovations help companies incorporate location-independent systems, allowing workers to collaborate and communicate wherever they may be. And all signs indicate this is only the beginning, with the industry poised for unprecedented growth.
In fact, as enterprise software moves to the cloud, the traditional unified communications space is having its own dramatic shift. The consumer experiences from Snapchat to Instagram to Facebook among other consumer technologies—are changing the expectations for communications. New models for collaboration and engagement, supported by big data and the cloud, provide a whole new world of opportunities.
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Published By: Workday UK
Published Date: Mar 07, 2018
As the finance function moves further into the digital era, one of the biggest questions CFOs are asking is, “Are we ready?” Technology advancements and the proliferation of data are dramatically reshaping the role of the finance function. As companies face increasing competition and ongoing change, they expect finance to leverage technology and turn data into insights they can use to guide strategy and support decision-making.
Published By: Workday UK
Published Date: Mar 08, 2018
In the HR Outlook Report for Winter 2016/2017, brought to you by the CIPD in association with Workday, HR leaders discuss the priorities and challenges facing the function, both today and as we move into a business landscape which is anything but clear.
Read the report and discover:
• How HR leaders view their role in guiding their organisation through periods of economic and political uncertainty, such as Brexit
• The uptake of analytics and big data to strengthen evidence-based decision making and the barriers preventing HR from adopting these technologies
• HR’s priorities for 2017, and how these are shifting from 2016
When you extend the global reach of your enterprise, you’ll find new markets for your products and services. That means reaching more potential customers, bigger growth potential, and higher ROI. But to tap into those emerging markets, you need to provide the best, most consistent user experience. Now, it’s possible for you to build, deploy, and manage modern apps at scale with a globally-distributed database—without the hassles associated with hosting in your data center.
Read the e-book Build Modern Apps with Big Data at a Global Scale and learn how Azure Cosmos DB, a globally-distributed turnkey database service, is transforming the world of modern data management.
Keep access to your data available, consistent, and safe—with industry-leading, enterprise-grade security and compliance. Start developing the best app experience for your users based on five well-defined consistency models:
Strong: Favors data consistency. Ideal for banks, e-commerce processing, and online booking.
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios:
Keeping track of essentials such as scalability and availability.
Making sure your app delivers consistent service to multiple customers.
Delivering data in real time, across the globe, without the complexities of multiple datacenters.
Creating actionable insights from big data.
Incorporating artificial intelligence into your apps.
Locking down security while building in the cloud.
Published By: Adverity
Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics
Marketing Data is big & highly fragmented
Big data is messy. It’s scattered across platforms, it’s diverse, and in its raw form, it’s practically unusable.
We know, it’s a painful truth. The fact of the matter is that having a lot of data doesn’t necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack.
But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to.
Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilá - your download is ready. Enjoy this read!
Published By: Adverity
Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC).
It's full of inspiration, useful tips and actionable insights for you to step up your marketing game.
In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal:
Knowing what data to capture
Understanding customer behaviour
Finding your technology solution
Ensuring analysis is impartial
Optimising website content - especially for your offline users
This A-to-Z guide includes 101 common terms related to the Internet of Things. It’s not an exhaustive list, given that the IoT and big data are evolving so quickly, but rather a quick go-to resource for the technically savvy data professional who wants to get a handle on this vast IoT and big data ecosystem. This guide for the “non-geek” does include some technical terms, but they are explained sans technical “geek speak.” We also provide context to how a term may be connected to a larger discussion by grouping terms by category.
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
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.
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
Published By: HPE APAC
Published Date: Jun 16, 2017
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.
Read on to find out more.
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.
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
Marketing as you know it will never be the same. There’s a fundamental shift in relationships between brands and customers—fueled by smartphones, social media, and today’s
always-on, always-connected mentality. Marketers have access
to more customer data (big data) than ever before. But the quantity of data only matters if you’re smart about using it—to power 1:1 customer journeys.
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.
Wie die meisten Unternehmen werden auch Sie vermutlich mit der Datenspeicherung zu kämpfen haben. In einer jährlichen Umfrage von Frost & Sullivan unter IT-Entscheidungsträgern wurde das Speicherwachstum als eine der größten Herausforderungen der letzten fünf Jahre für das Rechenzentrum genannt.2Da Unternehmen exponentiell mehr Daten als je zuvor sammeln, replizieren und speichern, ist schon der einfache Erwerb ausreichender Speicherkapazitäten ein Problem.
Hinzu kommt nicht zuletzt, dass Unternehmen von ihren gespeicherten Daten mehr erwarten. Daten werden mittlerweile als kostbares Firmenkapital und Möglichkeit gesehen, sich von den Wettbewerbern zu differenzieren: Sie sollen neue Geschäftsmodelle, neue Umsatzchancen, bessere Informationen, optimierte Betriebsabläufe und niedrigere Kosten bringen. Angesagte Trends wie das Internet der Dinge und Big Data-Analysen generieren so schnell neue Marktchancen, dass IT-Organisationen kaum noch Schritt halten können.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.