Published By: Marketo
Published Date: Sep 03, 2019
It’s critical for marketing teams to adopt experimentation to continually improve and help prove their impact to their organizations. Unfortunately, many teams do not know how to deploy scientific tests correctly in the marketing process. Most do not use an iterative design approach, while many others fail to create the right kind of environment to encourage curiosity and experimentation. What must marketers do to build a culture of innovation, and test their way to successful engagement marketing?
Download Marketing Experiments in an Age of Accountability to learn about:
Accountability and experimentation living in harmony
The experimental marketing team
Experimentation basics and how-to’s
Real experiments and their results
Where and how to use experiments
Published By: Dell EMC
Published Date: Oct 08, 2015
Big data can be observed, in a real sense, by computers processing it and often by humans reviewing visualizations created from it. In the past, humans had to reduce the data, often using techniques of statistical sampling, to be able to make sense of it. Now, new big data processing techniques will help us make sense of it without traditional reduction.
Online video’s explosive growth has created tremendous new opportunities for engaging
customers and developing new revenue streams. But despite the fact that video is becoming
increasingly central to many online business strategies, many publishers still lack the tools and
data to understand what factors are important in keeping their audiences engaged.
In this whitepaper, we present data from the first ever large-scale scientific study that shows how
video performance quality affects viewer behavior. The results help to shed light on important
considerations that can help businesses craft a successful online video strategy – boosting their
business bottom line and ultimately reaping the rewards of online video’s vast potential.
In this whitepaper, we present data from the first ever large-scale scientific study that shows how video performance quality affects viewer behavior. The results help to shed light on important considerations that can help businesses craft a successful online video strategy – boosting their business bottom line and ultimately reaping the rewards of online video’s vast potential.
In the new age of big data, applications are leveraging large farms of powerful servers and extremely fast networks to access petabytes of data served for everything from data analytics to scientific discovery to movie rendering. These new applications demand fast and efficient storage, which legacy solutions are no longer capable of providing.
This report from Forrester Research shows how, in today’s digitally-driven world, applications are at the center of the universe. They are the point atop the pyramid where code, data, and modern technologies such as cloud and the Internet of Things (IoTs) interact to enrich the lives of consumers, perform useful scientific and medical work, and drive business value.
Published By: Riverbed
Published Date: Apr 12, 2017
AWS makes it simple to set up cloud-based resources. But do you have secure, high-capacity, high-performance connectivity to and between AWS cloud instances? That’s where Riverbed comes in. Riverbed’s SD-WAN solution enables cloud migration and performance, all managed via quick and simple workflows.
Register for the upcoming webinar to experience a fundamentally new approach to networking, with real users sharing their experience in addition to a joint customer, OpenEye that has saved time and money by utilizing this approach to cloud networking.
OpenEye Scientific Software leveraged Riverbed SteelConnect to very quickly and easily establish secure connections to and between AWS VPCs, saving hours of network administration time.
Are you feeling the pressure to meet FDA guidelines on Quality by Design (QbD) principals for Process Validation?
Existing manufacturing, LIMS, ERP and document management tools are lacking integration and on demand view of your processes. They have hidden costs, risks and create delays to scalable product manufacturing and revenue.
Since the FDA is demanding scientific arguments to support process and product development activies and a lifecyle approach, consider the value of a purpose built app for Process Validation.
This new class of APP will bring your products to market faster and lower the risk of costly delays.
Download the Primer to learn more.
Study shows a decidedly scientific approach to benefits development and management, and illustrates emerging trends of benefits that are becoming “need to play,” as well as those growing substantially in popularity, emerging as “need to win.”
Retailers continue to collect this data and many have made good use of it, segmenting and targeting customers and rewarding loyal behavior with discounts and offers. Still, many sense that there’s untapped potential. They’re right. With the cost of data storage plummeting and the capabilities of analytical tools on the rise, this data’s value is set to skyrocket. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail shares his view on how insights from these vast data storehouses can scientifically inform retailers’ decision-making in critical strategic, tactical and operational areas, including category management, shelf space allocation and new product introductions.
Published By: HireVue
Published Date: Aug 28, 2018
Pre-hire assessments are a proven, scientific way to screen candidates. Today, pre-hire assessments have evolved beyond their legacy standardized-testing roots to measure a candidate’s critical competencies faster, more accurately, and in a way that enhances their candidate experience.
EXPECT TO LEARN:
Why pre-hire assessments make hiring more data-driven
The technologies driving the next generation of pre-hire assessments
How the next generation of assessments mitigate bias and control for adverse impact
How video-based and game-based assessments provide complementary insight into a candidate’s skills, abilities, and potential
Why the multiple-choice pre-employment test is becoming a thing of the past
Download the free white paper now
Companies that put data at the centre of their business gain better insights and deliver more effective marketing. Data centricity at an organisational level is the priority for larger companies, mindful of the opportunities afforded by more scientific commercial decision-making and data-driven marketing. A focus on data alone in the context of customer analytics is not enough, however. Companies require insights from their data to deliver first-class customer experiences that give them a competitive advantage.
Our global survey of more than 1,000 business respondents shows that companies are rightly focused on activities powered by actionable insights as opposed to focusing on data for its own sake. More effective segmentation and targeting (65%), and better marketing attribution (52%), are the top data-related priorities for marketers, while ‘technologists’ (including analysts, ecommerce, and IT professionals) are primarily focused on making their organisations more data-centric (50%
Research and Education (R&E) networks are experiencing a surge in capacity demand as a result of the massive growth of streaming media (Netflix, Facebook, YouTube), growing utilization of public cloud services, and the continued need to support large scientific data file transfers for researchers collaborating around the globe. This increase in traffic is driving many operators to evaluate network backbone upgrades to 100G. Upgrading is necessary but costly. But what if operators could upgrade their R&E networks to 100G for 50 percent less CAPEX investment and extend the life of the existing routers, while actually simplifying the architecture to enable lower operational costs? Download our app note to learn how.
Published By: HiQ Labs
Published Date: Apr 18, 2017
Experts predict the number of M&A transactions will increase in 2017, but the nature of M&A is changing. The old ways of collecting data are getting to be too slow, too expensive, and too subjective. The ideal M&A transaction relies on accurate, actionable scientific insights into the target’s workforce to support the investigation, due diligence and integration aspects of M&A. hiQ Labs applies scientific rigor to publicly available data sets to forecast which employees are at risk of leaving, map the target workforce’s skills onto the buyer’s company, and identify which employees have the skills critical to the deal’s success, so M&A leaders get a faster, cheaper, and accurate solution based on science.
John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail shares his view on how insights from these vast data storehouses can scientifically inform retailers’ decision-making in critical strategic, tactical and operational areas, including category management, shelf space allocation and new product introductions.
In high volume, low margin grocery retailing, merchants have to be on their toes when it comes to driving customer demand and loyalty. This comprehensive eBook details the essential steps required to enable a commerce anywhere strategy in grocery retail. With specific attention to developing a strategy, optimizing inventory, ensuring planning is targeted and scientific, and the power of real-time analytics will provide the reader an actionable plan for success.
Published By: Zilliant
Published Date: Apr 08, 2010
Read this paper to learn how one leading manufacturer overcame the challenges of pricing configured products by employing a powerful combination of normalization, scientific segmentation, and software technology.
Published By: Clarizen
Published Date: Sep 23, 2015
Read more to learn how Clarizen has helped the Boston Scientific Corporation (BSC) project management teams achieve true visibility across multiple project portfolios and ensure that every project is directly tied to key business results.
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.
Forget spreadsheets. Organizations that are winning in this down economy are using automated analytical tools to take a more scientific approach to decision making through observation, experimentation and measurement to improve their business processes.