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.
Robust Data Management Platforms drive intimate customer experiences.
You know the importance of identifying your best customer segments and treating them right. You also know that takes a ton of work. But it’s work that we can help you accomplish with our integrated and secure Data Management Platform (DMP). By using Adobe Audience Manager, our DMP offering, you'll aggregate data from all your sources to better understand your current customer segments, while we also help you identify new audiences to target.
The new Forrester Wave™: Data Management Platforms, Q2 2017 says “Adobe was a DMP Forrester Wave leader in 2013 and 2015, and continues to set the pace in this Forrester Wave.” See where we receive the highest scores and why we are named a Leader in this report.
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later.
Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
Marketing organizations are often limited in their ability to progress marketing tactics from single channel to cross-channel and real-time customer engagement. While marketing organizations might have a robust customer engagement strategy in place, often times there is a gap between their strategy and their ability to execute, with the right personalization and context that customers prefer. Over 62 percent of customers are always-on and readily addressable, but marketers aren’t implementing the right strategies to reach them.
This eBook discusses data-driven marketing tactics that can help marketers mind the gap – bridging customer strategy and ability to execute, with the right personalization and context that customers prefer.
While they’re intensifying, business-data challenges aren’t new. Companies have tried several strategies in their attempt to harness the power of data in ways that are feasible and effective. The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. That’s why data preparation is a non-negotiable must for any successful customer-engagement initiative. The fact is, you can’t simply load data from multiple sources and expect it to make sense. This white paper examines the shortcomings of traditional approaches such as data warehouses/data lakes and explores the power of connected data.
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements.
To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
Published By: Data Stax
Published Date: Oct 14, 2016
Financial services companies engage with customers across multiple channels and across a range of financial products. This wealth of customer information is often stored in isolated data silos. Building a 360° view of the customer can directly impact customer experience and help banks grow customer retention, upsell products and provide compelling interactions. This paper examines the challenges these institutions face when creating a 360° view of every customer interaction, what database requirements the lines of business should look into, and use cases to benefit from by leveraging DataStax Enterprise, the database platform purpose built to power cloud applications.
Published By: NetSuite
Published Date: Feb 17, 2016
The examples that follow illustrate some of the actual challenges that legacy ERP solutions cannot meet. The examples are placed within 5 broad categories of benefits that NetSuite OneWorld customers realised after deploying the cloud-based solution.
1. Standardising business processes and data
2. Omnichannel on a common platform
3. Multiple brands on a common platform
4. Rapid and easy global expansion
5. Managing multicurrency, international business
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms.
To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
Published By: SessionM
Published Date: Jan 24, 2018
Download Gartner’s latest Market Guide for Master Data Management of Customer Data Solutions to learn market definition, analysis and recommendations, the criteria necessary for evaluating marketing data management solutions and how master data sits in the middle of the 360° customer view.
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
This study illustrates the financial impact of adopting IBM DB2 for both SAP and non-SAP applications based on aggregated findings of customers that migrated to DB2 from a variety of legacy database platforms.
Hear directly from VCE customers around the globe who modernized their data centers and simplified IT with the portfolio of EMC converged and hyper-converged platforms. Companies such as Fox Sports, Kimpton Hotels, and Kent State University share the stories behind a compelling transformation of their IT environments. This interactive document enables you to drill down into 17 individual company logos to unveil each customer's unique journey.
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important.
Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc.
Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
The Internet of Things enables retailers to do three basics better
1) Sensing who customers are and what they’re doing,
2) Understanding customer behavior and preferences, and
3)Acting on that insight to create a more engaging customer
- There are high-potential IoT applications in supply chain, in
“smart store” operations, and especially in providing an engaging
experience to the “connected customer.” IoT data can anticipate
where the customer is headed and how to meet her there.
- Much of the IoT ground, in both data management and analytics,
may be unfamiliar. Retailers and their IT organizations have to be
realistic about the technological challenges, their own capabilities,
and where they need assistance.
- To differentiate through IoT, focus on the analytics. Devices and
their data — and even their platforms — are commodities.
Advantage goes to the retailer who does the most with the data to
engage the connected customer.
Published By: ForgeRock
Published Date: Mar 10, 2015
In the modern age, customers are in control of when, where, and how they consume information. In this environment, customer-focused companies strive to make their content available to an ever-growing number of connected users and devices on a much larger scale than ever before, and to gather as much data and insight from these interactions as possible. To achieve this securely, companies need identity and access management (IAM) platforms that are adaptable, scalable, responsive, and high velocity— not typical characteristics of employee-facing IAM, but all too typical of other systems of engagement. This species of solution is worthy of a unique name: identity relationship management (IRM).
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the
broad range of content serving, Big Data/analytics, and archiving functions associated with the
systems of engagement and insight that they depend upon to better service customers and enhance
business outcomes. They need to enhance their existing datacenters, they need to accelerate the
building of new datacenters in new geographies, and they need to take greater advantage of
advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms
this business and datacenter transformation the shift to the 3rd Platform.
Cisco commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying the Cisco Data Virtualization solution. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of investing in the Cisco Data Virtualization solution for their organizations.
To better understand the benefits, costs, and risks associated with Cisco Data Virtualization, Forrester gathered data through interviews with customers who had multiple years’ experience using the solution. All organizations used Cisco Data Virtualization as a single data virtualization integration platform to query and access data across their network. This includes accessing data that resides on the cloud and on-premises across various sources and systems.
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
In today’s business environment, customers rely on the most efficient, high performing, and reliable backup systems to protect critical business information. Customers need to protect increasing levels of data while keeping costs under control. HP StoreOnce Backup systems provide a disk-based data protection platform while addressing data growth by applying HP StoreOnce deduplication software for efficient, longer term data retention.This document describes the benefits of using HP StoreOnce Backup systems combined with HP StoreOnce Catalyst software and HP Data Protector to back up important enterprise data. This document also recommends backup and recovery implementations.
In today’s mobile world, the user is at the center of the application experience. This is true whether the user is a customer, a partner, or an employee. Yet meeting the needs for the enterprise user poses particular challenges. Apps must work seamlessly across devices and screen sizes, enabling real-time collaboration, without sacrificing data security. This balance requires a mobile app development platform built for the unique demands of the enterprise.
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