Published By: TruSignal
Published Date: Jun 03, 2013
This white paper aims to provide B2C digital marketers with a better understanding of why you may need an audience expansion technique and what questions to ask yourself before you get started. We hope to not only build an imperative for audience expansion techniques, but also to offer a guide that will help you choose the right data and right techniques for reaching more of your desired prospects online. Specifically, this white paper will discuss and differentiate two specific expansion approaches: lookalike and act-alike audiences including how they are built, the problems they solve and how to use them effectively throughout the marketing funnel.
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable.
Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
Published By: Adverity
Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics
Marketing Data is big & highly fragmented
Big data is messy. It’s scattered across platforms, it’s diverse, and in its raw form, it’s practically unusable.
We know, it’s a painful truth. The fact of the matter is that having a lot of data doesn’t necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack.
But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to.
Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilá - your download is ready. Enjoy this read!
Discover the best practices for securing and protecting your Hybrid IT environments from HPE’s Advisory Consulting services. Businesses and organizations are building new hybrid infrastructures to deliver new IT services that require agility, resiliency and security. Success will require more automation, integration and end-to-end visibility supported by threat intelligence and threat analytics. This blueprint provides proven strategies and approaches based on the IT digital transformation experience and many customer engagements. It will help customers determine where to start and how to approach this topic
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
IT Managers Talk About The Pains And Frustrations Of Routine Administration, Maintenance And Upgrades. Hosted services (also known as cloud computing, Software-as-a-Service or SaaS) are a good example and the subject of this paper.
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: Uberall
Published Date: Jan 24, 2019
We’ll give you some key insights on how consumers are using technology platforms to guide them, how your clients can leverage those tools to win business, and how you can drive recurring revenue through location marketing services.
We’ll also offer some specific tips on optimizing online presence for brands and maximizing budget – taking advantage of the techniques most likely to drive business.
Read on to learn more!
Analytics is game-changing and can produce valuable insights from the ever-growing volume,
velocity and variety of data. Business Intelligence (BI) provides the foundation for many types
of Analytics. It enables companies to deliver exceptional customer experience, enhance
marketing effectiveness, increase operational efficiencies, reduce financial risks, improve
product quality and reliability, and so on. But businesses are also challenged to generate timecritical
actionable insights and make a compelling financial business case for BI investments.
Apache® Spark™ has become a vital technology for
development teams looking to leverage an ultrafast
in-memory data engine for big data analytics. Spark
is a flexible open-source platform, letting developers
write applications in Java, Scala, Python or R. With
Spark, development teams can accelerate analytics
applications by orders of magnitude
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
There are many types of databases and data analysis tools to choose from when building your application. Should you
use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft?
What about polyglot persistence and the need for advanced analytics?
If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions
available to meet your app’s unique needs.
You’ll see how data can move across databases and development languages, so you can work in your favorite
environment without the friction and productivity loss of the past.
IBM offers self-service BI capabilities that tell you what you need to know about the past, present and future—fast. Here are five reasons why you should choose IBM for self-service business intelligence.
It's all well enough for an organization to collect every slice of data it can reach, but having more data doesn't mean you'll automatically get better insights. First, you have to figure out what you want from your data you have to find its value.
SIEM solutions detect real attacks from the thousands of events that are happening in the network. When an unexpected and potentially dangerous event is recognized, engineers take a quick (temporary) action to block the security leak, diagnose what really went wrong, determine what else is at risk, and decide on a fix.
Pairing Apache Kafka with a Real-Time Database Learn how to:
? Scope data pipelines all the way from ingest to applications and analytics
? Build data pipelines using a new SQL command: CREATE PIPELINE ? Achieve exactly-once semantics with native pipelines
? Overcome top challenges of real-time data management
The client is one of the world's leading insurance companies. In 2007, the client embarked on a journey to transform its actuarial function. The objective was to improve the operational efficiencies and accuracy of actuarial reporting, while meeting tight timelines and reducing operational costs.
This paper provides an intro to managers and marketing professionals applying analytics to marketing to significantly improve outcomes. It explains not only why you need to make this shift, but also how you get started and what tools you'll need.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Intent-based networking is the difference between a network that needs continuous attention and one that simply understands what you need and makes it happen. It’s the difference between doing thousands of tasks manually and having an automated system that helps you focus on business goals.
Cisco DNA is the open, software-driven platform that turns vision into reality. Virtualization, automation, analytics, and cloud, all in one architecture.