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  • Balancing Big Data with Predictive Analytics

    Sponsored by: Centerity

    In this expert guide, discover a 5-step process to predictive analytics, specific challenges of the 3Vs of big data, and how to combine predictive analytics and big data to provide the analytical insights that you need.

  • Real-Time vs. Near-Real-Time Analytics

    Sponsored by: Guavus

    This expert guide gives you an understanding of the differences between real-time and near-real-time analytics and explores cloud platform choices are when it comes to real-time analytics. In addition, explore why telcos need real-time analytics to fuel their success and how to accomplish this.

  • Developing a Mature Analytics Environment

    Sponsored by: Guavus

    This e-guide explores the need to evolve your data management systems and sort out your analytics game before introducing an AI tool.

  • Buying Big Data Analytics Tools: Insights and Use Cases

    Sponsored by: Guavus

    In this exclusive guide spearheaded by big data and data governance expert David Loshin, discover must-have features and functionalities to assess how well various big data analytics tools can meet your needs. Plus, explore benefits of big data analytics tools, and business use cases.

  • How to Empower Citizen Data Scientists

    Sponsored by: TIBCO

    The burden of finding insights from scores of data rests on citizen data scientists, whose primary jobs is outside the field of statistics. In this expert guide, discover tools that citizen data scientists can use to solve problems or improve products and/or processes

  • Using All Forms of IoT Data

    Sponsored by: ServiceChannel

    In this expert guide, discover what differentiates IoT data created on the front and back ends, and how you can use both to understand the metrics that are crucial for your business.

  • CIO Priorities for 2018

    Sponsored by: Data443

    What business intelligence trends are going to be critical in 2018? In this expert guide, several European CIOs and analysts look at the trends to be aware of.

  • Bringing Together the Cloud, AI and Machine Learning

    Sponsored by: Ephesoft

    In this expert e-guide, learn how to bring AI and machine learning into the cloud to untangle complexities and increase workplace productivity.

  • Content Management Analytics Arms Businesses with a Strategic Planning Edge

    Sponsored by: TechTarget Content Management

    This expert handbook explores how to enable sound, machine learning-enabled analytics for content management systems. Find out how to support decision-making with rich, real-time ECM analytics and assess the impact of things like AI and big data on your content analytics strategy.

  • SAP's IoT Lineup for ERP and Manufacturing

    Sponsored by: Microsoft, Intel, SAP

    In this expert e-guide, Ann Grackin from ChainLink Research gives an overview of SAP's new IoT offerings. Learn about these emerging services and find out how you can incorporate IoT products into your ERP, manufacturing, and analytics strategies.

  • Cloud Data Analytics Gets a Higher Profile in Companies

    Sponsored by: VMware

    In this expert e-guide, find out how Lenovo plans to move its analytics work to AWS to reduce its processing latency from 5 hours to less than 1 hour.

  • IT Managers Weigh in on Biggest Benefits of Big Data Analytics

    Sponsored by: Hortonworks

    Find out how businesses use big data to become more data-driven and get a better understanding of their customers.

  • Managing the Big Data Onslaught

    Sponsored by: TechTarget Data Management

    In this expert e-zine, explore how big data management systems can pay big dividends for companies willing to break traditional business patterns and divert their data lakes into new revenue streams.

  • Data Science & Analytics: Bridging the Gap & Boosting Success

    Sponsored by: IBM

    In this 2-part expert e-guide, learn how some enterprises, including FICO and Equifax Inc., made the practice pay off. Plus, Sai Devulapalli, Data Analytics Product and Business Leader at Dell, explains how to bridge the gap between academia and industry when it comes to data science and advanced analytics.

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

    Sponsored by: TechTarget Business Analytics

    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.

  • Getting Payoff from Data Science & Business Analytics

    Sponsored by: IBM

    In this expert e-guide, learn how several enterprises, including FICO and Equifax Inc., make the practice pay off. Plus, discover how Sai Devulapalli, Data Analytics Product and Business Leader at Dell, thinks of bridging the gap between academia and industry when it comes to data science and analytics.

  • The Evolution of IoT Analytics and Big Data

    Sponsored by: Vitria Technology, Inc.

    In this e-guide, Sisense co-founder Adi Azaria and Machina Research analyst Emil Berthelsen examine the current state of IoT analytics as well as where it's heading next. Learn about the impact IoT is having on everything from Hadoop big data platforms to real-time BI capabilities.

  • How to Plan Your SAP SuccessFactors HCM Suite Implementation

    Sponsored by: AltaFlux

    In this e-guide, SAP expert Luke Marson offers advice on how to plan your SuccessFactors implementation by taking a proactive view of your key pain points and integration needs for Employee Central, HRIS, ERP, and Workforce Analytics.

  • IoT Future: Field Service Software Puts IoT to Practical Use

    Sponsored by: ServiceMax by GE Digital

    The Internet of Things isn't just for folks to know how much milk is left in the fridge. Discover how field technicians and the software to support them is changing the game for IoT, and how the industrial internet, bringing together predictive analytics and asset management, is progressing.

  • Machine learning technology, techniques add new analytics smarts

    Sponsored by: TechTarget Business Analytics

    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.

  • Riding the AI Analytics Wave: How Salesforce Einstein Measures Up

    Sponsored by: Salesforce.com

    In this expert e-guide, we explore how AI integration augments analytics apps. Discover AI's potential to open new doors for IoT and cloud strategies, and learn about how Salesforce's Einstein platform measures up.

  • Taking Big Data Analytics to the Cloud

    Sponsored by: Rackspace Technology

    Discover how HSBC, a financial services company and banking giant, adopted a cloud-first strategy to enhance analytics and solve big data business challenges. Hear from David Knott, a chief architect at HSBC, about how they addressed 5 key use cases with machine-learning and selected a cloud provider for analytics.

  • The Right Time to Manage and Analyze Big Data in the Cloud

    Sponsored by: Rackspace Technology

    In this expert e-guide, we explore the roles of public and private clouds as well as on-premise systems in big data management. Learn about the potential impact of cloud services on data lakes and analytics; plus, find out how to incorporate cloud-based machine-learning and AI into your big data strategy.

  • The Top IoT and Cloud Concerns Facing Big Data Management

    Sponsored by: Rackspace Technology

    In this expert e-guide, we explore the trends that are projected to dominate big data in the immediate future. Learn about growing data management opportunities in IoT, the rise in machine-learning and self-service data prep tools, cloud-based analytics, and more.

  • How Industrial IoT is Transforming Manufacturing

    Sponsored by: Bayshore Networks

    Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.

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