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  • Good Analytics Dashboards turn BI Data into Actionable Info

    Data visualizations and analytics dashboards are supposed to streamline and simplify access to BI data. But how often is that actually happening? Read this 21-page expert guide written by our experts here at SearchBusinessAnalytics to learn how to properly create a dashboard that helps understanding, not limits it.

  • Predictive Data Analytics Advances Businesses Ahead of the Game

    Predictive analytics has the potential to be a more strategic investment, according to research analyst Jen Underwood of Impact Analytix. But that doesn't mean it's easy to start using. Read this 20-page expert guide for 10 steps to help you start using predictive analytics algorithms effectively.

  • Data visualization process demands smart design, accurate data

    Visualizing data is not as easy as it looks – and doing it poorly can have big business consequences. Download this 19-page handbook for advice on 7 tips on avoiding bad data in your visualizations.

  • Cloud-Based BI and Analytics Systems Start Taking a Firmer Shape

    In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.

  • Machine learning technology, techniques add new analytics smarts

    Companies are tapping machine learning technology and techniques to boost analytics capabilities. But these often require new analytics systems and can create data management challenges. In this expert handbook, learn how to make sure your organization's use of machine learning technology and techniques has a sharp focus on the business benefits.

  • Big Data & Data Mining Team Up To Help Users Hone A Competitive Edge

    Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.

  • Data Monetization Strategies Add New Business Opportunities, IT Needs

    Organizations looking to monetize data often need to upgrade their IT and analytics capabilities and commit to a long-term monetization plan. In this expert handbook, discover the guidance you need to build a clear data monetization strategy.

  • Big Data Warriors Formulate Winning Analytics Strategies

    The real-time battle to derive business benefits from data analytics deployments is seen through the eyes of front-line big data users. This handbook on big data analytics examines the trials and tribulations of big data users who are on the front lines, devising and implementing partial and full-blown applications.

  • IoT Analytics Explores New Business Frontiers

    Access this guide to learn some ways that you can make your IoT data work for you. Discover how to gain important insights by creating an early-warning analytics system, analyzing IoT data at the network edge, track purchases via wearable devices, and more.

  • Embedded BI Gives Business Users the Inside Track on Analytics

    This guide explores the potential benefits of embedded BI more deeply, as well as its proper place in enterprise architecture. Discover several real-life cases of embedded analytics in action, as well as tips on how you can use embedded BI to monetize data, and more.

  • Good Visuals, Well-Told Stories Aid BI Efforts

    This guide offers advice on, and examples of data visualization and storytelling practices. Inside, learn tips for good visualization and storytelling techniques, creating enriched BI dashboards, and some of the pluses and potential minuses of the data storytelling capabilities enabled by self-service tools.

  • Departmental Specialization Needed With Analytics

    This three-part handbook examines BI and analytics deployments for different functional units in organizations with advice on how to make your program work. First, learn about how BI functions when geared towards sales and marketing, before turning towards a customer service approach. Finally, read about how analytics can help with asset protection

  • Spark for Big Data Initiatives: Biggest Opportunities & Challenges

    This expert e-guide discusses how Spark users are overcoming the processing engine's maturity issues to extract optimal value out of big data. Explore the biggest benefits and limitations of Spark and discover where it stands in the market relative to its competitors.

  • BI in the Sky: Making Cloud Analytics Work

    How can you decide if you should invest in cloud BI tools? This expert guide reveals crucial information on cloud BI and analytics for IT decision-makers. Discover the biggest trends, benefits, and challenges of cloud BI tools.

  • Salesforce Wave Yet to Reach Crest

    Salesforce's Wave Analytics Cloud has yet to crash into a large consumer base, but the platform might be gaining ground on wider adoption.

  • Business Information Asean January 2016

    Read in this issue how Philippine Long Distance Telephone Company (PLDT), has implemented a big data analytics environment, delivering invaluable behavioural insights for its capacity planning.

  • Evaluating and Selecting the Right BI Analytics Tool

    When shopping for a BI analytics tool, it's easy to be distracted by offerings that have lots of features and miss out on choices that actually match your use cases. In this buyer's guide, BI expert Rick Sherman explains how to distinguish between features that are must-haves and those that are unnecessary or wasteful.

  • Matching the Right BI Analytics Tool to Business Users

    This Buyer's Guide will help you determine which BI analytics tools are the best match for your business. Read on to access technical use cases that illustrate the key attributes of each of these tools, and discover the range of BI options at your disposal—from guided analysis to self-service BI to advanced data visualization.

  • Every Move You Make: Pros and Cons of Location-Based Services

    This e-zine is jam-packed with examples of companies finding creative new ways of using location-based services or LBS technologies. Read now to learn how the Golden State Warriors use location-based services to target members of Dub Nation.

  • Effective Data Discovery Points Way to Bigger BI Benefits

    How can you reach a middle ground between control for business users and centralized management from IT and BI managers? Discover why self-service software doesn't have to sideline IT or BI teams.

  • Effective Visualization Paints a Proper Big Data Picture

    Access this e-book to find experts reveal how companies should approach data visualization projects, what tools to use, overcoming possible challenges and achieving success.

  • Business Information Asean September 2015

    In this article, regional analysts explain how Asean companies can improve their understanding of analytics and the ability to execute these deployments.

  • How, Where and Why Big Data Analytics Are Delivering Value

    Benchmark Reports examine customer perceptions and adoption rates of technologies in the business intelligence (BI) market. Each report focuses on a specific area and surveys BI and IT professionals to understand the current market for that segment.

  • Cloud Integration: New Approaches for Connecting Applications and Data in a Hybrid Computing Environment

    SearchBusinessAnalytics Benchmark Reports examine customer perceptions and adoption rates of technologies in established segments of the business intelligence (BI) market. Each Benchmark Report focuses on a specific area and surveys senior BI and IT professionals to understand the current market state for that segment of the BI market.

  • Substance, Not Just Flash, is Needed on Data Visualization

    This guide takes a look at how to create a foundation that allows business users to take advantage of that data. Discover BI and data management experts' take on how architecture enhanced their analytics efforts. Also, take a look at why business users still need help from IT when they use self-service BI tools to analyze and visualize data.

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