Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
Ongoing digitization has created vast streams of data, forcing businesses to become more data-driven than ever
before. While the benefits of being a data-driven organization are clear (improved performance, more profitability,
stronger innovations), there are still some technical and business challenges to overcome. Thanks to technological
advancements in data analytics, companies in all types of industries can become data-driven. Read this e-book to
discover what it means to be a data-driven organization and to learn the basic do’s and don’ts of how to get there.
Compliance doesn’t have to be a scary word, even when facing the multifaceted challenges of the European Union’s General Data Protection Regulation. In fact, following through with plans for sustainable GDPR compliance can have many long-term benefits for your organization. That's because relying on data-driven decisions across the board sets you on track to gain a competitive edge.
In February 2018, SAS conducted a survey with 183 global, cross-industry businesspeople involved with GDPR at their organizations. Based on the survey results, this e-book delves into the biggest challenges and opportunities organizations have faced on the road to GDPR compliance.
Read on for advice from industry experts about the best path to compliance. Learn what steps your peers across a variety of industries have already taken and discover how an integrated approach from SAS can continue to guide your journey toward GDPR compliance.
Organizations today are increasingly information-driven, requiring them to create, organize, and store more data every day. To handle the conversion of “data to information”, you need an agile and scalable infrastructure which will provide the backbone to run multiple business-critical workloads simultaneously. This IDC white paper examines the need for the NetApp FAS8080EX hardware-optimized platform to help organizations transform into data-driven entities, adopt newer technologies, and invest in business-critical applications to stay ahead of their competition.
People are the most important
part of your organization.
Understanding what they do,
how they do it, and even why
they do it, provides invaluable
insights for optimizing your
processes, department, or
And as a business leader, in many ways
you’ve never had it so good. There’s more
people data available than ever before,
and you’ve got the opportunity to put it
to work through data-driven initiatives
like changes to workforce demographics,
employee retention, or benefits allocations.
And most important, you have a chance to
fuel business decision-making with smart
Once you’ve learned how to turn your
people data into real business value, you’ll
create more visibility within your business,
and everyone will see that the rewards of
HR analytics are worth the effort. It’s time
to take the opportunity to prove the value
of data-driven HR. No more darkness.
Otherwise, the only journey ahead is into
some challenging pitfalls. We’ve identified
five of t
Published By: MarkLogic
Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform.
Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices.
Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to:
• Unify, harmonize and ensure governance of information from diverse data sources
• Transform information into evidence that proves product efficacy and safety
• Identify data patterns, connections, and relationships for faster time to insight
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
Published By: Teradata
Published Date: Feb 04, 2015
Get the Inside Scoop on Data-Driven Marketing from 1,500 Global Marketers Explore the State of Data-Driven Marketing and the Power of Individualized Insights Our 2015 global marketing study examines the current state of data-driven marketing and how it affects the customer experience. To determine where you fall on the data-driven continuum – and to find out how to create more compelling customer interactions – download the Teradata 2015 Global Data-Driven Marketing Survey.
Access to comprehensive, up-to-date information about your infrastructure is critical to meeting the challenges of a service-led IT organization. You need visibility into your entire IT infrastructure, including both multi-vendor and multi-cloud environments, so you can make data-driven decisions and improve IT services. Discover how you can manage, monitor, and report on IT services across your entire data infrastructure so you can drive intelligent business decisions and reduce costs.
Healthcare and Life Sciences organizations are adopting cloud-based workloads at a significant pace. A 2017 HIMSS study found that 65% of Healthcare organizations were using cloud-based services, and nearly 88% of those organizations were utilizing Software-as-a-Service (SaaS) solutions, which have become the preferred deployment method for many clinical application vendors.
This eBook highlights advantages of using AWS to create and maintain cloudbased Next-Gen BI Solutions for Healthcare and Life Sciences organizations. This includes use cases from diverse organizations that have utilized AWS and APN Partners to manage and analyze data, and to discover insights otherwise obscured by the sheer volume of available information. Solutions from APN Partners can help your organization take the next step in building robust processes for making data-driven decisions that improve patient care, organizational processes, and innovative product development efforts.
Today’s meandering customer journeys take place over multiple channels and devices. Each interaction creates a stream of digital information, leaving marketers with a growing pile of data. But, with data seemingly everywhere, why are so many marketers still feeling like there’s not a drop to drink?
Leaders Have a Data Strategy and Enable More Teams with Data
In this research report from June 2017, Econsultancy surveyed more than 700 marketing and analytics executives at consumer brands to better understand how data factors into marketing strategy — and daily decision making.
Two-thirds of leading marketers — those who outperformed their top business goal — say they currently have a documented data and analytics strategy.
In this report, you’ll also learn how leaders have built data-driven cultures and why they are more likely to use:
digital analytics to optimize user experience in real time
audience-level data to personalize customer experience
customer-level data to segment a
The challenge for brands and retailers is clear.
To win during the holiday shopping season, they must:
• Plan holiday campaigns leveraging the very best data
resources you can to inform messaging and targeting
• Use the fragmented holiday shopping journey to their
advantage – meeting shoppers in the moments
• Cut through the noise on Black Friday – and throughout
holiday – to reach consumers with relevant, authentic
messages that resonate
Innovative data-driven strategies are enabling organizations to connect with customers and increase operational efficiency as never before. These new initiatives are built on a multitude of applications, such as big-data analytics, supply chain, and factory automation. On average, organizations are now 53% digital as they create new ways of operating and growing their businesses, according to the Computerworld 2017 Forecast Study.
As part of this transformation, enterprises rely increasingly on multivendor, multicloud environments that mix on-premise, private, and public cloud services and workloads. This shift is causing enterprises to increase network capacity; 55% of enterprises in the Computerworld study expect to add network bandwidth in the next 12 months.
Organizations that want to apply consistent data management, governance and security practices across their organization can learn a lot from Ford Motor Company. Data-driven decision making led Ford Motor Company to perfect the vehicle assembly line in 1913. A century later, Ford had more than 4,600 data sources, and a wide range of analytical tools, methods, and processes in use throughout the company, and needed a more strategic approach to decision-making.
Published By: HireVue
Published Date: May 18, 2018
Recruiting leaders know that if their companies aren’t sourcing and hiring for diversity they are missing valuable talent and experience. This is one of the reasons diversity has been a focus area for improvement in recent years.
Many organizations start with training. While diversity training is important for creating awareness, it doesn’t a¬ffect human behavior. A 2017 meta-analysis of studies investigating bias training confirmed this. Formal training can reduce unconscious bias, but it does not change behavior.13
This has put talent leaders in a di cult position. The way to make real progress on diversity hiring initiatives is by using systematic processes that apply data-driven decision making. With structured interviews and AI, you can overcome unconscious bias and make hiring more equitable for all candidates.
The General Data Protection Regulation – or GDPR – is a European
Union (EU) law that protects the rights of individuals with respect to
their data. Adopted as an EU law in April 2016, organizations that hold
data about any resident of the EU must be compliant by May 2018.
With attention-grabbing fines of €20 million or 4% of global annual
turnover, GDPR commands attention at the highest levels. And despite
the “legalese” that compliance suggests brands utilize, the brands that
balance legal compliance with a human approach will turn GDPR to
This white paper provides a series of actions you can take to make
the most of GDPR to both enhance your customer relationships and
20% of customers will be responsible for 80% of profit – or
so says The Pareto Principle, also known as the “rule of the
vital few.” So, while marketers are trying hard to increase market
share, they should be equally (or even more) concerned about
nurturing the customer relationships they already have. That
means finding ways to strengthen bonds with your best
customers and figuring out how to turn good customers into
Personalization, truly helpful support, data-driven contextual
marketing, re-engagement strategies, gamification… There’s
an almost overwhelming number of options out there, each
touted as your golden key to an enduring bond with your users.
In the pages that follow, you’ll learn about five strategies to drive
engagement and retention with actionable tips from Selligent
clients – top brands that are at the forefront of creating and
sustaining customer loyalty.
When it comes to applications like archiving, organizations are faced with several choices. Should they go with a hosted solution, install the application on-premise, or use a hybrid approach where the data resides on-site but the archiving application is hosted? Although the options are hotly debated, there is no right choice. It’s a decision that should be driven by business needs, not the solution that’s most popular with pundits today.
This white paper distills six rules that modern CFOs worldwide are adopting to attract, retain and nurture finance talent with the skills needed to put finance at the heart of data driven business decision making across the enterprise.
Published By: Pentaho
Published Date: Apr 28, 2016
Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative. This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business.
- The implications of the "freedom vs. control" paradox
- How to design for iterative, "frictionless" discovery
- Critical checkpoints in data discovery process where governance should be in place