While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
Embracing mobile devices, thin clients, new app delivery systems, and BYOD all represent a huge challenge to IT. The incredible amount of flexibility, productivity, and employee satisfaction that can be gleaned from the support of such initiatives is massive. However, this shift comes at a high price in terms of increased infrastructure cost and the increased complexity of managing it all.
Published By: Datawatch
Published Date: Dec 16, 2015
In this paper, the Top 10 Ways to Supercharge Analyst Productivity with Data Preparation, learn how a self-service data preparation solution saves analysts’ time by allowing them to manipulate, filter, enrich, blend and combine disparate data sets in a matter of minutes.
This video explains the integrations from IBM StoredIQ and Box that enables data cleanup and discovery. Learn how StoredIQ fits into the solution platform from IBM to help manage and mitigate risk with the use of Box's cloud solution.
DevOps (short for development and operations), like most
new approaches, is only a buzzword for many people.
Everyone talks about it, but not everyone knows what it is.
In broad terms, DevOps is an approach based on lean and agile
principles in which business owners and the development, operations,
and quality assurance departments collaborate to deliver
software in a continuous manner that enables the business to
more quickly seize market opportunities and reduce the time
to include customer feedback. Indeed, enterprise applications are
so diverse and composed of multiple technologies, databases,
end-user devices, and so on, that only a DevOps approach will be
successful when dealing with these complexities. Opinions differ
on how to use it, however.
Some people say that DevOps is for practitioners only; others say
that it revolves around the cloud. IBM takes a broad and holistic
view and sees DevOps as a business-driven software delivery
approach — an approach that takes a new or en
Every day, torrents of data inundate IT organizations and overwhelm
the business managers who must sift through it all to
glean insights that help them grow revenues and optimize
profits. Yet, after investing hundreds of millions of dollars into
new enterprise resource planning (ERP), customer relationship
management (CRM), master data management systems (MDM),
business intelligence (BI) data warehousing systems or big data
environments, many companies are still plagued with disconnected,
“dysfunctional” data—a massive, expensive sprawl of
disparate silos and unconnected, redundant systems that fail to
deliver the desired single view of the business.
To meet the business imperative for enterprise integration and
stay competitive, companies must manage the increasing variety,
volume and velocity of new data pouring into their systems from
an ever-expanding number of sources. They need to bring all
their corporate data together, deliver it to end users as quickly as
possible to maximize
Analysts struggle to incorporate new sources of data into their analysis because they rely on Microsoft Excel or other tools that were not designed for data blending. Deleting columns, parsing data, and writing complicated formulas to clean and combine data every time it changes is not an efficient way for today’s analysts to spend their time.
Download The Definitive Guide to Data Blending and:
Understand how analysts are empowered through data blending
Learn how to automate time-consuming, manual data preparation tasks
Gain deeper business insights in hours, not the weeks typical of traditional approaches
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
"Uncover the Business Impact of Managing Risky Web Content
Download this white paper to learn:
How to safely manage ""uncategorized"" websites when sites are unknown to the secure web gateway (SWG) policies, which are largely based on website categories, such as news, entertainment, weather, social media, etc.
The cost implications of securing web content, including staffing, clean-up and risk mitigation
Isolation - a new technique for malware prevention to maintain end user & IT staff productivity
Administrators can either be lenient in allowing access to uncategorized sites, increasing malware risk, or deny access and deprive employees of necessary information. There are hidden costs to both approaches.
Published By: Iterable
Published Date: Sep 07, 2018
Email marketing continues to be the best digital channel for ROI, so delivering dynamic, personalized messaging to the inboxes of your customers is of the utmost importance. In fact, for 77 percent of consumers, email is the preferred messaging channel, dwarfing demand for SMS, push notifications and social media communications.
When you are determining the right email marketing strategy for your business, it’s natural to wonder how the industry leaders are conducting their campaigns. A¬er all, if they’re on top, then they must be doing everything right...right?
To glean best practices, we analyzed the email marketing strategies adopted by the top 100 e-retailers in the United States to study how they engage with their customers. These companies represent industries ranging from apparel and electronics, to auto parts and pet supplies, but all have the single goal of getting their users to go from inbox to checkout.
We note what companies are doing across the board, as well as what spec
Published By: Claravine
Published Date: Jan 03, 2019
Marketers have long struggled with the simple task of knowing
which marketing spend is truly effective, and how to optimize that
spend. At the heart of the issue lies the challenge of ensuring the
data quality and consistency exists to make decisions based on
Why is this a problem? First, effective tracking is reliant on the
consistent, complete application of campaign tracking codes and
associated metadata, which has traditionally been a manual, ungoverned
process. Adding to this complexity has been the dramatic
expansion of digital marketing point solutions, and the disparate
teams expected to execute across each of these channels and geographies.
The result is what you would expect—highly inaccurate,
incomplete, and inconsistent data that must be manually cleaned
before reporting is possible.
Fortunately a solution exists. Progressive marketing leaders are
implementing Digital Experience Data Management (DXDM), ensuring
the rich, consistent insights critical to ma
Published By: Oracle OMC
Published Date: Nov 30, 2017
This white paper shares insights gleaned from Demand Gen Report’s own research, along with interviews with industry experts, to dispel five common myths associated with marketing automation. In doing so, it highlights the benefits of using this type of system, explores what it takes to unlock its range of potential, and explains how to apply marketing automation for personalized, buyer-centric marketing.
Published By: Oracle OMC
Published Date: Nov 30, 2017
Successful email marketing, demand generation, and lead management processes hinge on a modern strategy closely aligned to buyer needs and expectations across all phases of the buying process. Using a wide spectrum of digital channels, today’s buyers employ an extensive network of tools and resources to
make the most informed purchase decisions.
The Modern Marketing era is driven by the self-educated buyer who marketers must engage to achieve a relevant, targeted, and value-based customer experience. Marketers are increasingly enhancing their understanding of how data can fuel the delivery of meaningful interactions. This access to vast sources of information that marketers are applying to execute and achieve more refined marketing simply can’t be gleaned manually.
Today’s supply chain is, of course, the primary processing mechanism of every manufacturing company. But it’s more than that: Its multifaceted, multicompany, multinational structure makes it the most complex management challenge found in any enterprise. Supply chain management no longer means just making sure that the right resources and the right materials move to the right place at the right time.
When people think of global warming and environmental damage caused by inefficient power consumption, computing may not instantly spring to mind as a culprit, but the computing industry takes a toll on the environment. Learn more about how your company can address both environmental and business initiatives in this white paper.
Big data has made quite an impression on organizations embarking on data journeys, hoping to glean valuable insights ranging from process optimization to customer-facing improvements. This research paper explores proven best practices that can help organizations overcome obstacles to deliver on big data potential.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
Data Centre Dynamics Ltd.
102-108 Clifton Street
London EC2A 4HW