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Data Modeling

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DEFINITION: Also see: Unified Modeling Language (UML).Data modeling is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. Data modeling is a first step in doing object-oriented programming. As a result of data modeling, you can then define the classes that provide the templates for program objects.A simple approach  … 
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Data Modeling Reports
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Finance Executives: A Breakthrough Dashboard For You
sponsored by Oracle Corporation
WEBCAST: Join Justin Gillespie, Principal for Business Intelligence and Data Warehousing at The Hackett Group, in this webcast to explore the benefits of the Hackett Oracle Performance Exchange (HOPE) and learn how it could revolutionize how you leverage data.
Posted: 22 Feb 2017 | Premiered: Feb 22, 2017

Oracle Corporation

Targeted Marketing Your Rivals Can't Copy: Lessons From Data Capital
sponsored by Oracle Corporation
WEBCAST: 90% of today's data has been created in the last two years, most of it outside the enterprise. Access this webcast to leverage the big data expertise of Paul Sonderegger, Oracle Big Data Strategist, and get the most out of your data.
Posted: 22 Feb 2017 | Premiered: Feb 22, 2017

Oracle Corporation

How to Use Metadata to Create the Foundation For a Scalable Data Architecture
sponsored by Zaloni
WHITE PAPER: Without proper governance, enabled by a strong foundation of metadata, a data architecture will fail to deliver. In this book, explore key challenges of building a next-gen data environment, 7 tangible benefits of implementing data lakes, what metadata is and its 3 classifications, 3 data lake options compared and more.
Posted: 22 Feb 2017 | Published: 22 Feb 2017

Zaloni

Embrace Self-Service Data Preparation and Analytics Tools to Avoid Data Chaos
sponsored by Birst
RESOURCE: In this Gartner resource, discover the impact that the current trends in BI tools are going to have on the market, as well as some recommendations for how industry leaders can adapt to these changes. Inside, learn some best practices for fostering customer trust in your data, 4 categories of data preparation, and more.
Posted: 11 Jan 2017 | Published: 24 May 2016

Birst

The Future of Model Risk Management for Financial Services Firms
sponsored by SAS
WHITE PAPER: This white paper covers the current state of model risk management (MRM) for financial firms, as well as posits some ideas about what the future of financial modeling is going to look like. Inside you'll learn about the impact that new regulatory developments for banks has had on MRM, 5 important new features of modeling technology, and more.
Posted: 10 Nov 2016 | Published: 10 Nov 2016

SAS

Driving the IoT Journey: 10 Trends to Watch
sponsored by PTC
WHITE PAPER: This white paper explores how recent advances in technologies like augmented reality for smartphones will impact the IoT market in the near future. Uncover key projections about interesting opportunities and challenges that will arise for IoT in areas like IoT analytics automation, industrial IoT and smart factories, edge computing, and more.
Posted: 08 Nov 2016 | Published: 30 Jun 2016

PTC

Taking The First Step To Building A Customer Analytics Program
sponsored by SAS
WHITE PAPER: In this whitepaper, discover some best practices to help your marketing department become more analytically driven and create a closer bond with your customers. Inside, learn ways to put relevant data to work for you, employ visual analytics to quickly explore data sets, learn your customer's behaviors with predictive analytics, and more.
Posted: 07 Nov 2016 | Published: 07 Nov 2016

SAS

Bring Your Data Together With Customizable Data Models
sponsored by Pyramid Analytics
WHITE PAPER: Learn about a BI program that gives self-service users the freedom to manage their own data with the helpful guidance of preconfigured models to simplify the data modeling process. Plus discover how to eliminate the risk of building data models in ungoverned environments, how to enhance data model governance and security, and more.
Posted: 04 Nov 2016 | Published: 04 Nov 2016

Pyramid Analytics

How BI Technology Can Make Analytics Available To All Levels of Business
sponsored by Pyramid Analytics
WHITE PAPER: In this white paper learn about BI software that puts analytics back in the hands of the users. Discover how you can easily conduct advanced analytics like predictive modeling and time-series analysis, enable email alerts when important changes are made to your data, build your own custom models alongside IT curated ones, and more.
Posted: 03 Nov 2016 | Published: 03 Nov 2016

Pyramid Analytics

Top 4 Reasons to Adopt Data Lifecycle Management
sponsored by Iron Mountain
WHITE PAPER: This white paper examines the top 4 reasons why you must focus on deploying data lifecycle management as a strategic initiative. It also explores where and how to use specific solutions, along with the benefits of working with a partner that can offer a comprehensive approach to data lifecycle management.
Posted: 05 Oct 2016 | Published: 31 Aug 2016

Iron Mountain

Data Visualization Best Practices Guide
sponsored by Yellowfin
WHITE PAPER: Explore how to best present your data in an easily consumable way from choosing the right chart type to clarifying what your insights mean. You'll learn: which color schemes are best for displaying sequential metrics how to direct attention to critical insights when to deliver insights to decision-makersAnd more.
Posted: 16 Sep 2016 | Published: 16 Sep 2016

Yellowfin

10 Things to Consider When Embedding Analytics into Applications
sponsored by Birst
WHITE PAPER: This white paper by BI and analytics expert Wayne Eckerson, of Eckerson Group, outlines the 10 steps you can take to successfully streamline your enterprise's BI, including how to create an effective pricing strategy, design your dashboard to support customer workflows, and more.
Posted: 12 Sep 2016 | Published: 31 Aug 2015

Birst

The Economics of Building Versus Buying BI Analytics
sponsored by Birst
WHITE PAPER: This white paper explains why it is ultimately more useful to embed commercial software to keep up with the rising tide of demands for different and more intuitive BI analytics. You'll learn how to cut costs in your analytic budget through the use of external analytics programs.
Posted: 09 Sep 2016 | Published: 31 Mar 2016

Birst

Achieving a Next-Gen Business Strategy in the Cloud
sponsored by Infor
WHITE PAPER: This resource discusses deploying a ready-to-run ERP cloud platform. With such a deployment you can achieve streamlined management of, and deep visibility into, every aspect of your business.
Posted: 07 Sep 2016 | Published: 30 Jan 2015

Infor

Utilizing Data-aware Storage in the Age of Convergence
sponsored by IBM
EGUIDE: Access the latest on converged, data-aware storage architectures, which seek to improve performance optimization through smart deduplication and compression schemes, app-aligned caching and tiering, policy-definable QoS, and data protection schemes. Additionally, discover why flash is crucial to convergence.
Posted: 03 Nov 2016 | Published: 27 Oct 2016

IBM

Getting a Grip on Content: Empowered Content Collaboration in the Cloud
sponsored by IBM
RESOURCE: Access this resource for insight into how collaboration capabilities can turn content into a competitive advantage and striking the balance between content security and access. Additionally, discover resource requirements for deploying an ECM tool, and learn more about cloud-based content management implementation.
Posted: 19 Oct 2016 | Published: 31 Dec 2015

IBM

How to Narrow Down Your Choices for Buying a Data Governance Tool
sponsored by Veritas
EGUIDE: In this expert e-guide, we explore key evaluation factors for selecting the right data governance tool to suit the needs of your organization. Find out which metrics matter most when it comes to picking your tool, like handling metadata objects, managing data quality, addressing unstructured data, and more.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas

Visualizing the Future of Big Data and Predictive Analytics
sponsored by SearchDataManagement
EZINE: Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.
Posted: 06 Oct 2016 | Published: 06 Oct 2016

SearchDataManagement

Put Spark to Work with IBM Platform Conductor for Spark
sponsored by IBM
WEBCAST: In this webcast, see a demonstration of one analytics processing software and how it works in conjunction with an end-to-end enterprise solution to give your organization the ability to deploy, manage and run multiple instances on a shared infrastructure from a single interface.
Posted: 04 Oct 2016 | Premiered: Mar 16, 2016

IBM

Veritas Enterprise Vault Health Check Tool: Monitor, Analyze and Report on Areas of Critical Importance
sponsored by Globanet Veritas
DATA SHEET: This data sheet highlights an enterprise vault health check tool that provides automated Veritas Enterprise Vault archive analysis and reporting to help with the performance and integrity of your key data archives.
Posted: 29 Sep 2016 | Published: 31 Dec 2015

Globanet Veritas

The Clearwell eDiscovery Platform Optimized
sponsored by Globanet Veritas
DATA SHEET: This resource examines the e-discovery platform that is used by Charles Schwab, GlaxoSmithKline, New York State Attorney General, Royal Bank of Canada, Toyota and the USDA. Learn about potential benefits such as accelerated document processing, new levels of transparency, and more.
Posted: 29 Sep 2016 | Published: 30 Jun 2016

Globanet Veritas

Intelligent Load Balancing for Journaling Infrastructures
sponsored by Globanet Veritas
DATA SHEET: Journaling in organizations suffers from archiving performance and backlog issues and duplicate indexes. This data sheet details new journaling technology that allows organizations to reduce their journaling to just a single set of centralized or regional journal mailboxes without multiple journal mailboxes and archiving tasks in each location.
Posted: 28 Sep 2016 | Published: 29 Jul 2016

Globanet Veritas

Leveraging Predictive Analytics to Foresee Future Purchasing Behaviors
sponsored by Intel Corporation
CASE STUDY: This Hadoop-big data case study explores how a major supplier of household electronic appliances strategically approached their big data and predictive analytics needs. Find out how they created secure predictive models to answer critical business questions about buyer behavior so that they could identify the likelihood of future purchases.
Posted: 26 Aug 2016 | Published: 26 Aug 2016

Intel Corporation

Optimize Supply Chain Management with an In-Memory Data Platform
sponsored by Intel Corporation
WHITE PAPER: Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.
Posted: 24 Aug 2016 | Published: 30 Jun 2016

Intel Corporation

Improve Planning, Budgeting, and Forecasting with Advanced Analytics
sponsored by IBM
RESOURCE: Even businesses with top-performing enterprise performance management (EPM) strategies may need to tweak their approach in today's volatile market. Access this resource to get key facts from the Aberdeen Group about EPM strategies that take advantage of predictive analytics.
Posted: 01 Aug 2016 | Published: 24 Sep 2014

IBM
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DATA MODELING DEFINITION (continued): …  to creating a data model that allows you to visualize the model is to draw a square (or any other symbol) to represent each individual data item that you know about (for example, a product or a product price) and then to express relationships between each of these data items with words such as "is part of" or "is used by" or "uses" and so forth. From such a total description, you can create a set of classes and subclasses that define all the general relationships. These then become the templates for objects that, when executed as a program, handle the variables of new transactions and other … 
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