Rich, real-time location intelligence enables third-party logistics (3PL) companies to deliver pinpoint accuracy and offer superior service, which ultimately means higher volumes, better timelines and more competitive budgets.
This ebook looks at seven specific ways in which location data is being used by 3PL companies to enable more accurate fleet routing, precise tracking of vehicles and the ability to meet increasingly demanding customer expectations.
As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes), HERE can help 3PL companies develop key competitive advantages.
Comdata Group is one of the world's largest business process outsourcing (BPO) providers. It operates hundreds of call-centers around the globe, with tens of thousands of employees offering, a variety of services, including sales and customer service.
In a competitive BPO market, Comdata was looking for ways to increase the productivity and efficiency of its agents. It looked for a unified solution that would successfully engage employees, drive higher accountability and better focus them on their performance.
Using Gameffective's platform, Comdata deployed gamified, real-time performance management. This process provides employees with the ability and motivation to self-track their performance against goals and benchmarks, and offers just-in-time coaching based on their needs. The results were impressive: 12% increase in sales per hour, and significant reductions in both new-hire learning curves and in ongoing training time.
Read the case study to learn how Comdata:
Published By: Darktrace
Published Date: Apr 02, 2019
As organizations increasingly rely on cloud services and SaaS applications to streamline business practices, the familiar paradigm of the network perimeter has dissolved, leaving a porous and ever-changing digital estate in its wake. While the benefits of cloud computing will ensure that migrations continue apace, the unique security challenges presented by the cloud will not only require a more agile mindset, but also self-learning technologies that can move at the speed of cloud deployments and spot subtle deviations indicative of a threat, while providing complete, real-time visibility across the digital business. Darktrace’s world leadership in the field of artificial intelligence for cyber security makes it the most effective and proven solution to detect unprecedented threats and anomalous cyber-incidents in the cloud. Whether faced with an insider threat, an attacker targeting sensitive data in test containers, or a significant misconfiguration that could be exploited in the fut
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
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.
The spatial analytics features of the SAP HANA platform can help you supercharge your business with location-specific data. By analyzing geospatial information, much of which is already present in your enterprise data, SAP HANA helps you pinpoint events, resolve boundaries locate customers and visualize routing. Spatial processing functionality is standard with your full-use SAP HANA licenses.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
Rising urbanization has brought unprecedented levels of traffic and congestion to our major towns and cities. Departments of transport are battling to ensure their regions aren’t negatively impacted by increased pressure on their road networks.
On the frontline are traffic operators and planners. Every day, they face complex challenges as they attempt to improve traffic flow, minimize incidents, and unearth solutions to network issues.
This eBook explains how traffic planners and operators can use data to help overcome some of the challenges they face.
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge.
At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data.
HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
If you are trying to process, understand, and benefit from "big data," you need SAP® HANA®.
Process data at extreme speeds
Real-time analytics and insights
If you want to make sure you have access to your data for insights, whenever and wherever you need them, then SAP HANA on Lenovo's future-defined infrastructure—powered by the Intel® Xeon® Platinum processor—delivers what you need.
Get the details on everything you need to know about the value of SAP HANA, why SAP chose Lenovo for their own HANA installation, and how Lenovo can help your organization today.
Published By: Commvault
Published Date: Jul 06, 2016
Data conversations continue to change as all businesses are trying to figure out today's reality of the move to the cloud, anywhere/anytime computing, and the explosive growth of data. These trends have drastically reshaped the IT industry and data management forever. With continued market innovations in storage, cloud, and hyper-converged infrastructures, there are six key modern IT needs that are increasingly the focus of CIO and technology leaders.
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