Remember back in the day when digital advertising was simple to understand? Like popping open the hood of a 1972 Ford, all the parts were simple and visible, and how they fit together was intuitive. It made sense.
Now? Piecing together the modern digital advertising ecosystem is like trying to assemble a spaceship in your living room. But as Rocket Fuel Director of Artificial Intelligence Michael Benisch explains in our latest whitepaper, using advanced systems to buy media programmatically doesn't have to be overwhelming. Michael will take you "under the hood" of programmatic buying and walk you through the process of how and why a consumer sees the ads they see.
Download the whitepaper and pop open the hood before choosing a programmatic partner.
AdRoll looked in detail at the attribution strategies that agencies and brands across these markets are employing to find out how well they are leveraging their data to attract, convert and grow their customer base, as well as the challenges they face in integrating attribution into their marketing. From all of this AdRoll and Econsultancy deliver key insights and actionable insights which you can apply to your business in implementing or optimising attribution modeling.
Nothing is more top of mind for marketers than attribution. It’s a complex topic, and there are lots of questions. Should you measure only the first click, or the last click? Should you also measure views? Should you combine view measurement with click measurement? How long should you wait to give credit to user activity?
In this whitepaper, we examine the history of attribution models and dive deep into AdRoll platform data, third-party research, and advertiser survey data to make the case for marketers to adopt a blended attribution model, one that combines both ad views and clicks.
Attribution is critical to marketing success because nothing has a bigger influence on evaluating results than how you measure the impact of your advertising. And in the digital paradigm, almost everything is measurable. When we surveyed our customers, we heard this point loud and clear. Of the 1,050 marketers we spoke to in our 2016 State of the Industry Report, 84% believe attribution is critical or ver
Before creating new technologies, we must think about how to create the right values to be also able to sell it. All the technology that is required for “Industry 4.0” is available today already, so in fact Industry 4.0 can be seen more than an innovation driver for new businesses that are not exploited today, than an innovation driver for technology. If these existing technologies are assembled properly together and combined with the right business models, there is really good chance to profit from Industry 4.0.
This white paper looks into the ways one can profit from Industry 4.0 by differentiating through new business models.
This white paper outlines the components of the Banking Data Warehouse (BDW) and how they assist financial institutions in addressing the data modeling and data consolidation issues relating to the SOX regulations.
This white paper will outline the components of the Banking Data Warehouse (BDW) and how they assist financial institutions to address the data modeling and data consolidation issues relating to the Basel II Capital Accord.
Organizations with data-sharing environments, complex information and systems hinder business responsiveness and decision makers’ ability to make informed decisions. This white paper will describe how engaging in a master data management (MDM) project enables effective governance of data - specifically master data - and achieves maturity in key categories of the IBM Data Governance Maturity Model.
Today 3D CAD models are driving the world's product development processes. Finite Element Analysis, Rapid Prototyping, NC programming, Data Exchange, and other downstream applications rely to a growing extent on the direct use of CAD models to streamline processes saving time and money.
As business users expand to newer types of applications, and grow older ones, their attempts to use RDBMS encounter the "Relational Wall," where RDBMS technology no longer provides the performance and functionality needed. This paper measures the wall, explains what model and architectural differences cause it, how to foresee it, and how to avoid it.
One of the most powerful aspects of GML is the freedom it gives users to define their own custom application schemas. While this capability provides extraordinary flexibility to data modellers, it also creates significant challenges, particularly when the data is interpreted.
Recent regulatory additions require that companies take proactive measures like penetration testing to enforce data privacy and integrity. By deploying a distributed model companies can execute testing from different security levels which is important in challenging posture based on level of access.
Published By: ProofSpace
Published Date: Sep 10, 2007
Read this paper and learn the principles that are prerequisites to enforceable electronic agreements as required by existing legal standards and electronic signature legislation. This paper will also specify sixteen measurement criteria that can be used as metrics to assess whether the architecture of an electronic transaction will meet the requirements of admissibility.
Oil & Gas companies operate in an increasingly complex environment. SchemaLogic's enterprise solution for managing content and document metadata enables Oil & Gas companies to model, update and synchronize content across project document repositories or collections for greater reliability and reduced total installed cost.
This whitepaper describes how NETCONF and YANG can help drastically simplify network configuration management. The IETF has recently standardized the NETCONF configuration management protocol and is currently in the process of standardizing a NETCONF-oriented data modeling language called YANG. These two new technologies promise to drastically simplify network configuration management.
Seeing into the hearts and minds of our customers is impossible; but this article describes how Data Mining techniques can be used to create strategies and tactics to increase customer retention and value.
The large array of connected devices, often referred to as the “Internet of Things” (IoT), is delivering an array of new data from the sensors they contain. This data offers the promise of new services, improved efficiency and, possibly, more competitive business models.
Published By: Red Hat
Published Date: Jan 21, 2011
Chuck Dubuque - Product Marketing Manager, Red Hat Server and desktop virtualization technologies, which bring cost and agility advantages to enterprise IT, have become mainstream in most datacenters. However, after nearly 10 years, virtualized servers still only represent about 30 percent of x86 production workloads due to technology limitations and the expense of proprietary virtualization platforms. In this session, Chuck Dubuque will cover:
* The benefits of datacenter virtualization
* Technologies in the open source community that will enable pervasive virtualization
* The move to the cloud
* The particular advantages of Red Hat Enterprise Virtualization and the Red Hat subscription model
To survive and thrive in an era of accelerating digital
disruption, organizations require accessible data,
actionable insights, continuous innovation, and
disruptive business models. It’s no longer enough to
prioritize and implement analytics – leaders are being
challenged to stop doing analytics just for analytics’
sake and focus on defined business outcomes.
In addition, these leaders are being challenged to
bring predictive capabilities and even prescriptive
recommended actions into production at scale. As AI
and accelerated growth and transformation become
top of mind, many enterprises are realizing that their
current segmented analytics approach isn’t built to last,
and that real transformation will require proper endto-
end data management, data security, and a data
processing platform company-wide. The year 2019 will
be a turning point for many organizations that realize
being data-driven doesn’t guarantee future success.
Ready or not, the future is here.
For enterprise organizations, it must be a data-driven one.
Whoever can use technology to transform the customer experience, and be the
first to discover and deliver on new business models, will be the disruptor. Those
who can’t, the disrupted in this period known as the “era of Digital Darwinism.”
The future belongs to the Intelligent Enterprise which anticipates constantly
evolving regulatory, technological, market, and competitive challenges
and turns them into opportunity and profit. It delivers a single version
of the truth and agility. It connects to any data and distributes reports to
thousands. The Intelligent Enterprise goes beyond business intelligence,
delivering transformative insight to every user, constituent and partner.
Are most organizations there yet?
As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy
has surveyed 500 enterprise analytics professionals on the state of their
organization’s analytics initiatives.
Leading organizations don’t think of data protection in traditional back-office terms—and that’s no accident. They think and act like service providers, and in doing so transform data protection operations from mere cost centers to business enablers. Traditional data protection architectures can’t meet today’s challenges of massive growth, application performance, and data availability. And they aren't designed for services-oriented business models.
Published By: Prophix
Published Date: Apr 24, 2013
Having experienced challenges with spreadsheets and other reporting tools, Porter Airlines Inc. obtained advanced software that would allow them to model complex business problems, including the viability of their air routes, and analyze the health of their growing operations.
It is very clear that datacenter managers need, in addition to server virtualization, the virtualization, pooling, and management of all the other resources that interoperate with their VMs. They require virtualized network interconnects and storage. They also need the tools to manage and automate these converged IT assets as an integrated datacenter system.
This more agile system is the key to enabling the shift to a cloud-based infrastructure IT delivery model. Solution providers like HP are now addressing the need for more optimized and agile IT solutions. They are delivering virtualized storage, virtual application network (VAN) infrastructure, and the orchestration software to manage and automate all these ingredients as a single system. Read this whitepaper to learn more.
While some organizations are already utilizing Big Data or various large enterprise analytics techniques, many more are still working to grasp how these new usage models might help them. There’s a lot of undiscovered value in the vast amounts of data they currently have and the data that they can get from other sources. They know that they can somehow convert this data into insights that will let them ramp up efficiency and be ready for tomorrow today.
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
As companies’ transition to become digital enterprises, they must increasingly manage cost and performance across a hybrid IT environment. On-demand consumption strategies can be used to optimize your data storage costs, whether you are running applications in a private data center, across a hybrid cloud, or in the public cloud. Read this eBook and learn how on-demand consumption models can help you align IT spending with your business needs, both on-premises and in the cloud.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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