ComputerWeekly.com Research Library

Powered by Bitpipe.com

Business Intelligence Software Research

  • A Comprehensive Approach to IoT and Big Data Projects

    Sponsored by: Hewlett Packard - Intel Xeon

    Internet of Things (IoT) and big data projects involve a high level of complexity and require a different expertise than traditional BI. In this expert e-guide, we explore how to achieve a comprehensive and successful approach to IoT implementation. Find out how to integrate big data and IoT as well as get helpful advice about development tools.

  • The future of enterprise IT: Social, social, mobile, analytics and cloud

    Sponsored by: ComputerWeekly.com

    Cloud and data technologies are allowing organizations to provide service levels not even dreamt of a few years ago. This guide looks at some examples of these technologies transforming organizations in South-East Asia.

  • The future of enterprise IT: Social, mobile, analytics and cloud

    Sponsored by: ComputerWeekly.com

    Mobile and data technologies are allowing organisations to provide service levels not even dreamt of a few years ago. This guide looks at some examples of these technologies transforming organisations in Australia.

  • Dashboards Don't Work (Unless You Have a Metrics Management Strategy)

    Sponsored by: TeamQuest Corporation

    In this webinar, learn how to create an effective business value dashboard. Topics covered include: how to develop valuable strategic insights from operations data, the most effective methods of dashboard visualization, and more.

  • Fixed Assets Tracking and Depreciation put Medrobotics Corporation in Full Control

    Sponsored by: Sage Software

    This case study illustrates how Medrobotics, a surgical products company, leveraged a fixed assets tracking tool to support their growth, and gain more accurate and efficient depreciation processes. Learn how they benefitted from long-term planning and forecasting capabilities with their improved visibility into data and accounting processes.

  • The Evolution of Analytics: Opportunities and Challenges for Machine Learning in Business

    Sponsored by: SAS

    This in-depth resource describes the opportunities machine learning affords to analytics strategies. Learn how to overcome common challenges of incorporating machine learning and how two organizations specifically are navigating modern analytics technology opportunities and pitfalls.

  • Analytics in Healthcare: How 5 Healthcare Providers Are Turning Data Into Value

    Sponsored by: Information Builders

    This study examines how 5 healthcare organizations, participating in a collaborative forum for promoting best practices, are leveraging analytics and BI to drive organizational improvement and integrate data from multiple sources. Access now to learn about their data strategies and get tips about self-service BI, how to empower users, and more.

  • Optimize Supply Chain Management with an In-Memory Data Platform

    Sponsored by: Intel Corporation

    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.

  • Improving Manufacturing with Advanced Data Analytics

    Sponsored by: Intel Corporation

    Increasing complexity in products, manufacturing processes, and the Internet of Things (IoT) means that massive amounts of data are being generated every day. Find out how to address 3 of the biggest challenges of data management with integrated analytics so you can reduce costs, improve process cycle time, and speed up time to market.

  • Integrated Analytics: Manage the Growing Diversity of Sales and Marketing Data Sources

    Sponsored by: Intel Corporation

    This white paper explores how to enable an integrated analytics approach by leveraging data lake models, visualizations, and self-service BI. Find out to simplify big data, overcome traditional data warehouse limitations, and increase efficiency with automation.

  • How to Build a Predictive Analytics Model

    Sponsored by: IBM

    By focusing on a few strategic imperatives, organizations can transform their cultures and outpace their competitors. Uncover this resource to learn about the four pillars of predictive analytics, and how each one creates a smarter business.

  • Introducing Notebooks: A Powerful Tool for Data Scientists

    Sponsored by: IBM

    An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.

  • Data Science is a Team Sport -- Do you Have the Skills to be a Team Player?

    Sponsored by: IBM

    How do raw metrics and records become information that drives business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.

  • Smarter Data Preparation for the IoT Generation of Analytics

    Sponsored by: IBM

    Blending data into one, powerful stream of insight is possible when teams strategize the integration of multiple on-premise or cloud-based sources. Discover ways to put data to work by accessing it wherever it resides.

  • The Foundation of Sound Performance Management Strategies

    Sponsored by: IBM

    Access this resource to uncover strategies that allow you to automate processes and implement enhanced collaboration for improved performance management. Find out how you can update your analytics capabilities to get accurate forecasts, create predictive models, and drive better decision-making.

  • IBM Planning Analytics

    Sponsored by: IBM

    This white paper introduces a cloud-based planning and analytics platform that can enable finance and non-finance professionals alike to synthesize information, infer trends, deliver insights, and more.

  • IBM Cognos Disclosure Management on Cloud

    Sponsored by: IBM

    This white paper introduces IBM Cognos Disclosure Management on Cloud, a cloud-based platform designed to meet all of your organization's needs for the production of recurring, multi-author reports.

  • Accessing the Benefits of Big Data Analytics

    Sponsored by: IBM

    Selling business executives on the value of big data analytics apps is becoming a to-do list item for more IT managers. In this e-guide, we analyze the platforms different companies used to implement Hadoop-based analytics and BI apps. Find out which ones worked for them so you can make a more informed decision about your future in big data.

  • What to Consider When Comparing Hadoop Vendors and Products

    Sponsored by: IBM

    Hadoop distribution vendors offer various products that are differentiated by what they provide beyond the openly accessible functionality. In this e-guide, we help you compare vendors and products so you can make the right decision for your business.

  • Software guide: Extending Planning & Forecasting with Analytics

    Sponsored by: IBM

    This paper addresses the challenges of planning, budgeting and forecasting in a spreadsheet environment and highlights the advantages of using dynamic planning tools. Read on and learn how to join the ranks of companies that consistently deliver timely, reliable plans and forecasts.

  • How to Use KPIs to Build Insightful Reports

    Sponsored by: IBM

    Access this white paper to learn best practices for designing a reporting system and 6 guidelines for implementation, including: eliminate unnecessary reports, reduce dependence on spreadsheets, and 4 more.

  • IBM Planning Analytics Demo Part II: Analyze Drivers That Impact Your Profitability

    Sponsored by: IBM

    Watch this short demo video to discover how you can use planning analytics to identify and act on insights in real time.

  • IBM Planning Analytics Demo Part I: Building a Customized Workspace

    Sponsored by: IBM

    Check out this demo of IBM Planning Analytics—the first in a series of 3 short video guides—and learn how you can leverage predictive dashboards, data, and analytics to easily visualize business insights.

  • Reach New Performance Heights with Cloud Data Warehousing

    Sponsored by: IBM

    Discover a high performance cloud data warehouse service that can enable simple and fast information management, analytics, and business intelligence operations in the cloud. Explore how your enterprise can manipulate and analyze data without the added complexity of network cluster maintenance and database management.

  • Integrating TM1 BI and Predictive Capabilities to Unlock the Hidden Value of Your Data

    Sponsored by: IBM

    Predictive analytics capabilities—and how they can unlock to power of your data—are often opaque.This brief webcast elucidates some of the core functionality of a predictive analytics tool. See a live demonstration of how you can get a single, accurate view of your customers and how they impact your business.

Bitpipe Definitions: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Other

What's Popular at Bitpipe? Daily Top 50 Reports | Daily Top 100 Topics | Popular Report Topics

ComputerWeekly.com Research Library Copyright © 1998-2017 Bitpipe, Inc. All Rights Reserved.

Designated trademarks and brands are the property of their respective owners.

Use of this web site constitutes acceptance of the Bitpipe Terms and Conditions and Privacy Policy.