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Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
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
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Alteryx, Inc.
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: 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: Dell EMC Storage     Published Date: Nov 28, 2018
Powerful data protection in a converged appliance that is easy to deploy and manage — at the lowest cost-to-protect. The integrated appliance brings together protection storage and software, search, and analytics — plus simplified system management and cloud readiness. And, the IDPA System Manager, with its clean, intuitive interface, provides a comprehensive view of data protection infrastructure from a single dashboard.
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Dell EMC Storage
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: 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, multi-zone architecture, dmz
    
Globalscape
Published By: Google - SAP     Published Date: Jun 20, 2019
According to SiriusDecisions, 79% of companies miss their forecast by 10% or more. Pipeline management is often mismanaged and sales forecasting often off-base. Getting accurate and reliable information about the state of the deals in your pipeline is the key to a happy sales force. Accurate pipeline information also is the foundation of predictable and reliable sales forecasts. Wouldn’t a sales forecast that’s right all of the time be a boon to your organization? Download our new eBook “Pipeline Management and Forecasting are Key to Improving the Sales Experience” to find out how automated tools, AI, and clean data sets can help you as a sales manager to: ? Eliminate the mid-pipeline “black hole” and find out what’s really going on ? Use signals outside of your CRM to get scarily accurate deal opportunity scores and quarterly forecasts. ? Help align the customer journey with your sales process and get happy customers and happy sales reps
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Google - SAP
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
Delivering personalized customer experience remains the top business challenge for communications service providers (CSPs). Ovum's recently published 2018 ICT Enterprise survey saw almost all CSP IT executives interviewed identify delivering personalized customer experience as one of their three most important business challenges for the next 18 months. This trend emphasizes the high priority CSPs place on how customer relationships are managed. However, several factors have an impact on CSPs' ability to identify and then deliver customers' core needs. These include understanding the data sets they should focus on; collecting, cleansing, and consolidating these data sets; and having the right expertise to mine the data sets.
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Delivering personalized customer experience remains the top business challenge for communications service providers (CSPs). Ovum's recently published 2018 ICT Enterprise survey saw almost all CSP IT executives interviewed identify delivering personalized customer experience as one of their three most important business challenges for the next 18 months. This trend emphasizes the high priority CSPs place on how customer relationships are managed. However, several factors have an impact on CSPs' ability to identify and then deliver customers' core needs. These include understanding the data sets they should focus on; collecting, cleansing, and consolidating these data sets; and having the right expertise to mine the data sets.
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Group M_IBM Q3'19
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: 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, data generation, data management, storage, acceleration, business intelligence, data warehouse
    
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, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions
    
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, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data
    
IBM
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, information governance
    
IBM
Published By: IBM     Published Date: Jul 08, 2015
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.
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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
Published By: IBM     Published Date: Apr 18, 2016
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.
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ibm, ibm infosphere, big data, data optim, data management
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
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.
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ibm, ibm infosphere, big data, data optim, data management
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
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.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
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: Infomatica     Published Date: Mar 05, 2014
It’s no secret—healthcare is transforming. The transition to value-based care is well underway; healthcare players are feeling the impact and each has a role to play, including you! Moving to a value-driven model demands agility from every person, process and technology. These changes are generating more data than ever, there is a lot of data, in fact IDC Global Health Insights predicted that over the next 10 years, the amount of digital healthcare data created annually will grow 44 fold. Organizations that lead the pack and succeed will be those where clinicians, business leaders and patients are empowered with access to clean, safe and connected data. Learn more about your role in putting information to work…
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healthcare, technology, business, manage data, hospitals, performance management, value based care, consumerism, convergence, personalized medicine, preventative care, information technology, practice management
    
Infomatica
Published By: Intapp     Published Date: May 10, 2019
The Cornerstone of Financial Control Time equals money. Time plus data equals control. All professionals, whether in management, consulting, engineering, or accounting, must be confident that their value is reflected in their bottom line. One of the primary factors driving that compensation is the amount of time spent on a particular subject or client. But too often front line earners at those firms don’t provide the clean, data-rich timesheets needed to accurately gauge the effort required by each project.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data, automation, reporting, timekeeping, audit, accounting, consulting, professional services, active time capture, passive time capture, time tracking
    
Intapp
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