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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.
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data preparation, data wrangling, analyst productivity, data analysis, cleaning data, data blending
    
Datawatch
Published By: NetProspex     Published Date: May 12, 2014
NetProspex manages B2B marketing data on a massive scale. When we analyzed the more than 61M the records we processed last year, here’s what we found.
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services
    
NetProspex
Published By: Motorola Solutions     Published Date: Nov 29, 2018
In today’s increasingly mobile world, Energy workers require instant communication and access to data intelligence wherever the job may take them. From the oil rig to the electric grid and everywhere in between, having the right data, in the right hands, at the right time, no matter the environment or device of choice — is simply non-negotiable. Organizations across various Energy segments — oil & gas, electric utilities, water utilities, and mining — are currently juggling a mix of communication devices and are hindered by gaps in coverage, poor battery life and fragile equipment that cannot withstand harsh environmental conditions. Yet, citizens rely on their homes being heated in the winter, on clean running water, and on lights that turn on when they flip the switch. Meeting these expectations requires reliable, clear voice and data communications for Energy workers day-in and day-out. So oil & gas workers can communicate safely in hazardous environments. So precious resources are
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Motorola Solutions
Published By: SAS     Published Date: Apr 16, 2015
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015. This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
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 real intelligence. 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
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Claravine
Published By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth
    
IBM
Published By: NetProspex     Published Date: May 12, 2014
Only 8% of marketers classified their lead gen efforts as "very successful". Check ot the latest research on what successful lead generation will look like in 2014. See how you compare by taking the survey and then downloading the report!
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services
    
NetProspex
Published By: Gleanster Research     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 229 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions and analysis of 32 solution providers. Most organizations today have business intelligence (BI) tools or at least some way of churning out reports. Fewer have a true business intelligence strategy or a well-architected BI platform for generating actionable insights. Broadly considered, BI encompasses all aspects of gathering, storing, cleansing, analyzing and distributing data. This Gleansight benchmark report reveals how Top Performers are justifying their investments in next-generation BI capabilities, how they're overcoming implementation and organizational hurdles, and how, as a result of their investments, they're now able to make more timely and better informed business decisions across multiple organizational functions.
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gleanster, business, benchmark, business intelligence, roi
    
Gleanster Research
Published By: IBM     Published Date: Oct 22, 2014
A case study on how a major oil and gas producer saves 35 percent on data storage costs and 30 percent in litigation-related costs by adopting a smarter data discovery and defensible disposal strategy, using IBM Enterprise Content Management solutions.
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legacy data, data storage costs, data storage, content management
    
IBM
Published By: IBM     Published Date: Nov 19, 2014
According to a recent survey by the Compliance, Governance and Oversight Council, almost 70% of the electronic content and information organizations retain has no business or legal value. It’s simply digital detritus, retained because 1) we think we might need it sometime, 2) we forget about it, or 3) we don’t have policies and software in place to get rid of it. Ultimately, though, this unnecessary accumulation of content can create real problems in terms of e-discovery, regulation, management and cost. Watch this video white paper to learn more about: - How to get started on an information management strategy - The right combination of software and policy for successful information governance - The business case for proactive management of an organization’s digital footprint
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compliance, governance, oversight, digital debris, data cleanup, legacy data cleanup, information management, information management strategy
    
IBM
Published By: Globalscape     Published Date: Mar 21, 2014
This whitepaper explains that USB drives have been used to transport viruses and malware, both on purpose and accidentally. The paper explains that no manually handling of files, such as with USB drives, is unnecessary when you set up a secure network architecture using five zones of protection. You can transfer files to and from your network around the globe, and know the data and the network are secure, automatically scanning files to block dangerous data while allowing "clean" data into the network. The paper notes several reasons why it matters that data is secure while remaining accessible.
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viruses, malware, hackers, leaks, supply chain interruptions, stuxnet, scada, usb
    
Globalscape
Published By: Group M_IBM Q418     Published Date: Oct 15, 2018
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.
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Group M_IBM Q418
Published By: Melissa Data     Published Date: Nov 18, 2008
Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software
    
Melissa Data
Published By: Varonis     Published Date: Nov 12, 2013
The purpose of this document is to explain how Varonis products can help ease migration to Microsoft SharePoint, and how it can help keep data properly managed and protected once data has been moved.
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varonis, sharepoint, sharepoint migrations, managing sharepoint content, protecting sharepoint content, project plan, sharepoint deployment, datadvantage
    
Varonis
Published By: NetProspex     Published Date: May 12, 2014
While collecting marketing data is easy, that data is not cast in stone. Securing a marketing data management plan that you can rely on is imperative. This guide provides actionable steps to clean up your data and increase conversions.
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database cleansing, marketing database services
    
NetProspex
Published By: NetProspex     Published Date: Nov 04, 2013
How clean & actionable your B2B marketing database is today? Analyze your data with this free, secure cloud based assessment of your email deliverability, phone connectability, record completeness, duplication, target profile breakdown and more.
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marketing data services, marketing data management, marketing data quality, installed technology list, international contact data, business contact list, marketing database list, marketing database services
    
NetProspex
Published By: Motorola Solutions     Published Date: May 21, 2019
When it comes to worker safety, efficiency and production, nothing is faster than right now. Organizations across various energy segments — oil, gas, petrochemical, electric utilities, water utilities and mining — are currently juggling a mix of communications solution devices and are hindered by gaps in coverage, poor battery life and fragile equipment that cannot withstand harsh environmental conditions. The power of now puts instant communications at your workers’ fingertips — because when communication slows, operation slows. Citizens rely on their homes being heated in the winter, clean running water and lights that turn on when they flip the switch. Meeting these expectations requires reliable, clear voice and data communications for energy workers day-in and day-out. So workers can communicate safely in hazardous environments. So precious resources are not wasted and efficient operations are maintained. So energy companies can continue to exceed expectations. Unified communicati
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Motorola Solutions
Published By: SAP     Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dyché discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.
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data governance, data governance failure, data governance initiative
    
SAP
Published By: TowerData     Published Date: Jan 20, 2007
Visitors to your website are valuable leads and capturing their contact information is essential to converting them to customers. However, when prospects enter email addresses and phone numbers into a web form they often make mistakes, such as misspellings and typos, or they falsify data, which prevents you from being able to contact them.
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email list, email append, email address, cass, customer database, tower data, database, data quality
    
TowerData
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
Published By: IBM     Published Date: May 02, 2014
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
    
IBM
Published By: IBM     Published Date: Feb 22, 2016
IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
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ibm, data, big data, integration, governance, iig, infosphere
    
IBM
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