Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

data preparation

Results 1 - 25 of 49Sort Results By: Published Date | Title | Company Name
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Siloed data has become the Achilles heel of marketing insights –especially in the world of B2B and B2B2C marketing. Today’s marketing and sales departments sit on a goldmine of data derived from the dozens of applications and data sources in their MarTech stack. Still, the real opportunity for insights is hidden in the combined data across applications. Combining data in a comprehensive way delivers a full picture of marketing efficacy and efficiency. In this eBook, learn about the origins of siloed data, and how data has emerged and evolved, as well as review the benefits that marketing can realize with connected data. Along the way, we’ll share some action items you can take to assess your current situation and build a plan to unify your data and fuel great marketing insights.
Tags : 
    
Simba by Magnitude
Published By: AWS     Published Date: Jun 24, 2019
Join our webinar to hear how Consensus, a Target-owned subsidiary, utilizes AWS and Trifacta to prepare data for use in fraud detection algorithms. You’ll learn how self-service automated data wrangling can save your organization time and money, and tips for getting started with Trifacta’s solution, built for AWS. Webinar attendees will learn: Why automating your data wrangling tasks can lead to greater data accuracy and more meaningful insights. How you can reduce your data preparation time by 60% and more with self-service data wrangling tools built for AWS. How easy it is to get started with machine learning solutions for data wrangling on the cloud.
Tags : 
    
AWS
Published By: IBM APAC     Published Date: May 14, 2019
IBM PowerAI Enterprise helps to make deep learning easier and faster for organizations by bringing together some of the most popular open source frameworks for deep learning, with development and management tools in a single installable package. Designed to simplify end-toend deep learning, PowerAI Enterprise allows enterprises to spend less time on data preparation, implementation and integration, and more time training neural networks for results. IBM PowerAI Enterprise version 1.1.2 includes the most popular deep learning frameworks in one installation: - BVLC Caffe - IBMCaffe - TensorFlow - PyTorch - Keras (tensorflow-keras)
Tags : 
    
IBM APAC
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
Tags : 
    
Trifacta
Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
Tags : 
    
SAS
Published By: Paxata     Published Date: Nov 14, 2018
Paxata is named a leader in the newly published report. Download your complimentary copy to learn how Paxata has ranked among other offerings.
Tags : 
data prep, data preparation, forrester wave
    
Paxata
Published By: Trifacta     Published Date: Nov 02, 2018
In the latest report, Forrester evaluated 10 top data preparation solutions against 18 criteria, grouped into categories of Current Offering, Strategy and Market Presence. See how each data prep provider compares and who received the highest scores. Download your copy today to review: What are the key technical differentiators for data preparation solutions Which user personas do data preparation solutions focus on Why ownership of data preparation is transitioning from IT to business end users
Tags : 
    
Trifacta
Published By: Trifacta     Published Date: Oct 25, 2018
The rise of the self-service analytics era has called for a more flexible, iterative approach to data preparation. But as you and your team look to invest in modern data preparation solutions, understanding how to best evaluate these technologies can be difficult. In Ovum’s first Decision Matrix report on self-service data preparation, analyst Paige Bartley takes a comprehensive look at the eight major data preparation vendors by assessing each company’s technology and execution. Download this report to learn: Which vendors Ovum ranks as leaders in self-service data prep The strengths, weaknesses, opportunities and threats of all 8 data prep vendors A detailed overview of the criteria Ovum utilized in their evaluation
Tags : 
    
Trifacta
Published By: Trifacta     Published Date: Oct 25, 2018
Pourquoi le data preparation est-il un investissement rentable ? Lors de l’adoption d’une solution de préparation de données, il est important de mesurer le retour sur investissement. Dans ce guide, vous pourrez lire le témoignage de cinq clients de Trifacta de différents secteurs qui ont tous utilisé une approche différente afin de mesurer le retour sur investissement. Téléchargez notre guide pour mieux appréhender la rentabilité des plateformes de préparation des données qui permettent: Une réduction du temps de préparation des données Une réduction des coûts de licences de logiciels Un développement de son activité Une amélioration de la qualité des données Une mise sur le marché plus rapide des produits
Tags : 
    
Trifacta
Published By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
Tags : 
    
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.
Tags : 
    
SAS
Published By: SAS     Published Date: Aug 28, 2018
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast. In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
Tags : 
    
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.
Tags : 
    
SAS
Published By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
Tags : 
    
SAS
Published By: Schneider Electric     Published Date: Oct 31, 2017
Most successful data center migration projects share similar practices, such as expertise, preparation, management, execution, communication and business alignment. The purpose of this research is not to provide an extensive examination of each one of these practices. Rather, it is to provide a pragmatic list of best practices. This list was derived from observations of numerous Gartner clients involved in data center migration projects over the last six years.
Tags : 
planning, contingency plan, testing, migration, preparation, project team, audit, closure
    
Schneider Electric
Published By: Fiserv     Published Date: Oct 27, 2017
With the recent Financial Accounting Standards Board vote to proceed and the final Accounting Standards Update now published, the Current Expected Credit Loss (CECL) standards remain top of mind for the C-suite in financial institutions. Now is the time to begin the steps for developing a data preparation plan for CECL.
Tags : 
cecl compliance, cecl consulting, allowance for loan loss calculator, fasb, cecl, current expected credit loss, alco, reserve
    
Fiserv
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
Tags : 
    
Oracle Analytics
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this IDC InfoBrief to get the full details of the survey, and understand the impact that advanced spreadsheet usage is having on the data preparation and analytic processes throughout organizations.
Tags : 
    
Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Learn how to speed up data preparation tasks so that you can spend more time creating richer visualizations in Power BI. Download the Cookbook “6 Steps to Richer Visualizations Using Alteryx for Microsoft Power BI”.
Tags : 
    
Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
From small organizations using spreadsheets and visual discovery tools to large enterprises trying to improve data quality and delivery, data preparation difficulties are a major concern. Download your complimentary copy of the full report so you can tackle your data preparation challenges.
Tags : 
    
Alteryx, Inc.
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Shows how Oracle’s new cloud-based data preparation and data wrangling service unlocks value from complex business data.
Tags : 
    
Oracle PaaS/IaaS/Hardware
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. Why data encryption is often easier to adopt as part of a cloud initiative What top security threat you are less susceptible to on personal devices How to manage device updates and passwords for the greatest protection
Tags : 
accounting, mobility, security, data encryption, data
    
Citrix ShareFile
Published By: Citrix ShareFile     Published Date: Jul 11, 2017
Finance moves fast, and the ability to work from anywhere on your smartphone or laptop could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive financial data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your organization more secure. Why data encryption is often easier to adopt as part of a cloud initiative What top security threat your employees are less susceptible to on personal devices How to manage device updates and passwords for the greatest protection
Tags : 
finance, data encryption, mobility, security, data
    
Citrix ShareFile
Published By: RedPoint Global     Published Date: May 11, 2017
While they’re intensifying, business-data challenges aren’t new. Companies have tried several strategies in their attempt to harness the power of data in ways that are feasible and effective. The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. That’s why data preparation is a non-negotiable must for any successful customer-engagement initiative. The fact is, you can’t simply load data from multiple sources and expect it to make sense. This white paper examines the shortcomings of traditional approaches such as data warehouses/data lakes and explores the power of connected data.
Tags : 
customer engagement, marketing data, marketing data analytics, customer data platform
    
RedPoint Global
Published By: Teradata     Published Date: May 02, 2017
Should the data warehouse be deployed on the cloud? Read this IDC Research Spotlight to learn more.
Tags : 
data warehouse, data storage, data management, data analytics, data preparation, data integration, system integration
    
Teradata
Previous   1 2    Next    
Search      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.