To achieve personalization at scale, brands need to develop a better understanding of each customer they interact with, and that’s all about combining all the data they collect from every available source into a single cohesive customer view. There is no way they can handle this task or manage all this data manually, which is why data management platforms (DMPs) rose to prominence. Today, companies are looking to build on this single customer view with a real-time understanding of their audience across every digital channel, marking the next phase on the maturity ramp for DMPs.
Effective workload automation that provides complete management level visibility into real-time events impacting the delivery of IT services is needed by the data center more than ever before. The traditional job scheduling approach, with an uncoordinated set of tools that often requires reactive manual intervention to minimize service disruptions, is failing more than ever due to todays complex world of IT with its multiple platforms, applications and virtualized resources.
Why your data catalog won’t deliver significant ROI
According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not.
That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%.
Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data.
However, modernizing data plat
This is an at-a-glance guide to the key innovation trends in fleet management that leverage location data to improve last-mile efficiency and road safety. Presented to you by HERE, one of the world’s leading location platforms in 2019.
Increasingly sophisticated location technology makes it possible for data scientists to gain a deeper understanding of their target audiences – and how to reach them. Accurate and precise intelligence can give more timely and complete insights into audiences than ever before.
As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to buying location data for better audience segmentation.
How secure is your company’s network?
The rising frequency of employee network access is fast becoming one of the most prevalent and unmanaged risks to the protection of critical enterprise data. When coupled with increasingly sophisticated cyber-attacks, the possibility of a security breach of enterprise networks becomes more likely.
As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to preventing identity fraud. Discover the latest facts and statistics. Learn more about the use-case of location verification when logging into your company’s network.
Download the infographic from HERE Technologies.
Consider the key trends driving the modernization of the data infrastructure: focus on governance, mobilization and analytics. And take a look at the technologies that make up modern data infrastructure, including artificial intelligence (AI), flash storage, converged and hyperconverged platforms, and software-defined infrastructures.
Read this e-book to observe the key trends driving
the modernization of data infrastructure and see how
organizations are adapting and flourishing in a data-driven world.
Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Published By: HPE Intel
Published Date: Mar 15, 2016
Are you asking the right questions about your data center?
• Would you like your IT infrastructure to be faster and more agile?
• Would you like to improve your cost structure?
• Do you plan to adopt a hybrid IT infrastructure and become a service provider for your business?
To adapt to and compete in our ultra-connected, data-driven, and digital world, you need to effectively plan, build, integrate, and manage your facilities, platforms, and systems to efficiently align your infrastructure resources.
Enterprises are looking to innovations like big data, cloud-based services and mobile apps to improve decision making and accelerate business results. But legacy IT implementations—independent compute, storage and networking platforms, veneered with a hypervisor— often can’t deliver on the increased agility, scalability and price performance demands of this new era of IT.
In the age of the customer, businesses realize the need to take their big data insights further than they have before, in order to win, serve, and retain their customers. Today’s modern company has more data than ever before and is now looking to derive insights from the data that will help propel it forward. As firms move data analytics to the cloud, there is a new set of challenges and barriers to overcome, but with the help of insights-platforms-as-a-service, companies will be able to innovate with data and drive business forward.
Published By: Dell EMC
Published Date: Oct 13, 2016
Flexibility is important, since many future initiatives—big data, machine learning, emerging technologies, and new business directions—will be built on this cloud structure.
No matter what shape your cloud infrastructure takes, Dell EMC converged and hyper-converged platforms and innovations like Dell EMC VscaleTM Architecture, powered by Intel® Xeon® processors, deliver the pathways to scale-up and scale-out, today and tomorrow.
Understand how infrastructure complexity slows down data delivery and why flash storage alone addresses less than half of slow downs.
HPE makes the data center of the future available today. There are thousands of customers that can benefit from InfoSight predictive analytics within the HPE Nimble Storage and HPE 3PAR platforms. Enterprises depend on data to improve customer interaction, accelerate product development and run the back office.
As map providers move to a highly modular, platform-centric approach, get an understanding of the value being delivered and find out how governments can harness the benefits and apply them across regions to enhance mobility, experiences and safety. In this report by Counterpoint Technology Market Research, learn why the HERE Open Location Platform – described as super-rich and always up-to-date, is a leader in the location data arena.
As map providers move to a highly modular, platform-centric approach, get an understanding of the value being delivered and how you can harness the benefits and apply them to advertisement campaigns to attain more granular segmentation, precise targeting and a better audience experience. In this report by Counterpoint Technology Market Research, learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and
analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
Published By: Pentaho
Published Date: Nov 04, 2015
This report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies based on TDWI research plus survey responses from 325 data management professionals across 13 industries. It also covers Hadoop best practices and provides an overview of tools and platforms that integrate with Hadoop.
Published By: Pentaho
Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time.
This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
In our 40-criteria evaluation of data center hardware platforms for software-defined networking (SDN), we identified the nine most significant players — Alcatel-Lucent Enterprise, Arista Networks, Extreme Networks (which recently acquired Brocade Communications System’s data center networking business), Cisco Systems, Cumulus Networks, Dell, Huawei, Juniper Networks, and Pluribus Networks — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations professionals (I&O) make the right choice.
In our 35-criteria evaluation of data management
platforms (DMPs), we identified the 11 most
significant ones The ADEX, Adform, Adobe,
KBM Group, Lotame, MediaMath, Neustar,
Nielsen, Oracle, Salesforce, and Turn and
researched, analyzed, and scored them. This
report shows how each provider measures up
and helps B2C marketing professionals make the
Read the Forrester Wave: Data Management Platforms to see why Adobe Audience Manager is recognized for consistency and category leadership. Forrester states, "Adobe is a smart choice for marketers focused on extending control across channels."