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Enterprise Modeling

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Enterprise Modeling Reports
 
AI & Automation: Turning data into insights
sponsored by ComputerWeekly.com
EGUIDE: In this e-guide, read more about the trends that are shaping the demand for AI and how organizations including healthcare service providers and F1 racing teams are leveraging technology on their own terms.
Posted: 10 Jul 2018 | Published: 11 Jul 2018

ComputerWeekly.com

Simplifying the Task of Embedded Analytics in Business Processes
sponsored by SAS Institute
TRANSCRIPT: By embedding analytics in your business processes, you can democratize access to data, infuse insight across your business, and improve your workflow. But embedding analytics models is no small task. Read this transcript to learn more about SAS’s ModelOps approach, which can simplify the task of embedding analytics in your business processes.
Posted: 29 Jan 2021 | Published: 29 Jan 2021

SAS Institute

CIO Trends APAC: Developing a data-driven culture
sponsored by ComputerWeekly.com
EGUIDE: In this e-guide, read more about what organisations in Asia-Pacific are doing to sharpen their data analytics strategies to cope with business demands in a challenging economic climate.
Posted: 12 Jul 2020 | Published: 13 Jul 2020

ComputerWeekly.com

Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: At the core of any BI should be the ability to align business needs with the data infrastructure supporting them. This is almost impossible to do without a data model. Yet many BI implementers do not understand the need for these design components. This paper will examine the major benefits that data models have on BI environments.
Posted: 11 Feb 2010 | Published: 11 Feb 2010

Embarcadero Technologies, Inc.

Choosing visual properties for successful visualizations
sponsored by IBM
WHITE PAPER: In the following article, IBM experts address a key aspect in the design process.
Posted: 09 Oct 2013 | Published: 09 Oct 2013

IBM

The Big Data Surge: Data Modeling Challenges & Best Practices for Prepping Big Data Apps for Production
sponsored by IBM
EGUIDE: Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.
Posted: 27 Jul 2016 | Published: 26 Jul 2016

IBM

Predictive Analytics in Action: Real-World Examples and Advice
sponsored by SearchBusinessAnalytics
EGUIDE: Building predictive models is a complex, time-consuming process that demands a lot of skill. This expert e-guide reveals key steps to develop and implement a successful predictive analytics initiative. Discover how you can monitor the accuracy of predictive models, identify ideal candidates for predictive analytics teams, and more.
Posted: 19 May 2014 | Published: 19 May 2014

SearchBusinessAnalytics

Replication for Dummies
sponsored by Sybase, an SAP company
EBOOK: IT organizations face many data challenges. Data distribution rates and the quantity of data that consumers use is expanding exponentially in the global marketplace. Read this e-book to gain an understanding of the Sybase Replication Server and learn a series of best practices to consider when implementing a database replication strategy.
Posted: 08 Mar 2010 | Published: 05 Mar 2010

Sybase, an SAP company

Get Analytics Right from the Start
sponsored by Sybase, an SAP company
WHITE PAPER: Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.
Posted: 05 Aug 2010 | Published: 05 Aug 2010

Sybase, an SAP company
 

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