data insights

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Published By: Bazaarvoice     Published Date: Nov 05, 2014
Thanks to social, consumers are more vocal than ever and their opinions are influencing the purchase decisions of consumers all across the web. Learn how to turn social data into strategic business advantage with nine guiding insights to improve your bottom line today.
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bazaarvoice, business results, business insights, social segmentation, product innovation, consumer research, product enhancements, product performance, customer preferences, product catalog
    
Bazaarvoice
Published By: Intralinks     Published Date: Mar 12, 2014
The implications of data loss are significant. Organizations that ignore the law affecting collaboration and information sharing are at serious risk of litigation, fines and brand damage. The paradigm shift from organizationally-defined to user-defined information governance is making it that much more difficult to maintain control of business activity and data. This informative white paper by legal firm Field Fisher Waterhouse evaluates the legal risks of uncontrolled collaboration and information sharing and what to do about them, while providing in-depth insights into: • Landmark incidents that have influenced data protection laws • How to navigate different jurisdictional privacy frameworks • Top 4 types of legal risk to protect against • Top 5 recommendations for implementing good governance
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data security, compliance, technology, network security, regulatory compliance, knowledge management, data management, data center
    
Intralinks
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
    
IBM
Published By: Oracle Social Cloud     Published Date: May 02, 2014
This white paper offers a brief overview of how organizations can best use social data by implementing a framework to integrate social data with other enterprise and public or curated data. This framework provides a platform for uncovering new insights that can be fed into business intelligence and customer experience management systems in near real-time to help marketing, sales, service, and commerce teams accelerate decision-making and create long-term, profitable customer relationships.
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oracle, srm, social media, social data, digital marketing
    
Oracle Social Cloud
Published By: Gigya     Published Date: Jun 20, 2014
As marketers the world over share conflicting stories of social triumph and trial in the pages of leading industry pubs, rumors run rampant across this largely uncharted marketing territory. We’re busting 5 major social marketing myths that have made their way into mainstream marketing lore, and revealing proven facts and strategies to help guide your social efforts and execution.
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social login, gamification, social plugin, rating and review software, user management tool, social user management software, social customer tool, social consumer data, increase social engagement, consumer data management, permission based identity, single sign on, social consumer insights, big data marketing, data driven marketing , social marketing, social widget, social network plugin vendors, janrain, social annex
    
Gigya
Published By: Brandwatch     Published Date: Aug 23, 2016
This whitepaper offers an inside look into how social consumer market insights work at the world’s biggest brands and agencies.
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social media, consumer insights, market research, b2b marketing, consumer market insights, social data, social insights, social listening, social intelligence, business intelligence, voice of the customer, social intelligence platforms, social listening platforms
    
Brandwatch
Published By: Brandwatch     Published Date: Aug 23, 2016
As the consumer technology industry continues to grow and innovate, it becomes difficult for brands to stay at pace with expectations of their customers. Social media intelligence offers brands the ability to acquire important insights about both consumers and the market. This report summarizes key benchmarks and provides important insights regarding the state of social among the consumer technology industry.
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social media, consumer technology, social listening, b2b marketing, social data, social insights, consumer insights, social intelligence, social intelligence platforms, social listening platforms
    
Brandwatch
Published By: Brandwatch     Published Date: Aug 23, 2016
In this Brandwatch report, explore why it is critical that retail brands understand how they’re performing online, and how they can better connect with their online customers by using social data. Also, discover where brands including Amazon, Target and Walgreens rank on the Retail Social Index.
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social media, social listening, social data, social insights, retail, retail industry, social index, social intelligence, social intelligence platforms, social listening platforms
    
Brandwatch
Published By: Brandwatch     Published Date: Nov 03, 2016
Learn how social media intelligence can fill gaps in your research mix. We provide six unique benefits of social media research, four key layers of the social intelligence stack and eight core applications of social media data for modern businesses.
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social media, consumer insights, market research, b2b marketing, consumer market insights, social data, social insights, social listening, social intelligence, business intelligence, voice of the customer, social intelligence platforms, social listening platforms
    
Brandwatch
Published By: Brandwatch     Published Date: Nov 03, 2016
This report analyzes the social activity of 450 organizations and their consumers, in 15 industries. Download for access to The Social Industries Index, social engagement benchmarks, consumer & audience insights, and industry-specific research
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social media, consumer insights, market research, b2b marketing, consumer market insights, social data, social insights, social listening, social intelligence, business intelligence, voice of the customer, social intelligence platforms, social listening platforms
    
Brandwatch
Published By: IBM     Published Date: Aug 20, 2015
Understand the traits of successful performers and potential top talent. Using big data to uncover those traits reveals something surprising.
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big data, talent management, ibm recruitment, behavioral insights, potential top talent, impactful management, unique individual characteristics, human resources
    
IBM
Published By: IBM     Published Date: Aug 20, 2015
Hear from industry experts, how forward-thinking organizations can use workforce science and analytics to turn data into insights and then into action
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data analytics, ibm recruitment, data insights, hr leaders, workforce science, talent management, hr analytics
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
In light of such popularity, many organizations are turning their attention to mobile recruiting. So, how do job seekers use mobile devices in their job searches? Using data from the global IBM WorkTrendsTM survey, the IBM Smarter Workforce Institute (SWI) analyzed why and how potential job seekers use mobile in their job searches and what concerns and expectations they have. The results provide organizations with clear insights into how they can attract talent via mobile technologies.
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ibm, mobile recruitment, recruitment, mobile devices, smarter workforce institute, attracting talent
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, smarter workforce, talent management, talent analytics
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Workforce analytics is a very significant development in human resources. It promises the potential for deeper understanding of the ways workers contribute to organizational performance. However, workforce analytics is not just about analyzing data to reveal exciting insights; it also requires the active involvement of a firm’s workers if the potential of analytics is to be fully realized. Without active employee participation, workforce analytics efforts face at best, restricted data sources and data sets that are incomplete and at worst, the risk of damaging employee relations and, ultimately, productivity. This white paper summarizes recommendations that will encourage enthusiasm for workforce analytics and active employee participation, using the FORT (Feedback, Opt-in, Reciprocal, Transparent) framework. The FORT criteria could prove particularly useful in European countries. This is because the 1995 European Union Data Protection Directive, along with certain local legislative pr
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ibm, ibm smarter workforce institute, work trends, employee engagement
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting
    
IBM
Published By: SnowFlake     Published Date: Jul 08, 2016
Jana provides free, unrestricted internet access to more than 30 million smartphone users in emerging markets. With their mCent Android app, Jana shifts the cost of mobile data to brands via sponsored content. When users engage with content in mCent, they earn free mobile data that can be used anywhere on the internet. Jana product managers use data to constantly analyze how well each of the features in mCent performs, to determine which features should be turned on for everyone, and which features should be turned off.
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snowflake, data, technology], mcent, best practices, mobile computing, smartphone, business technology
    
SnowFlake
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: Glint     Published Date: Sep 27, 2017
It’s one thing to execute an employee engagement survey, but another altogether to make engagement survey data actionable, to help forecast retention, productivity, and even workplace safety for blue collar workers. The Employee Engagement Barometer offers insights, tips and checklists to help shift your survey strategy from measurement of a past point in time to a forecast of the near future.
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employee engagement, hr metrics, employee engagement survey, employee engagement strategies, employee engagement strategy
    
Glint
Published By: IBM     Published Date: Jul 01, 2015
The impact of streaming analytics and leveraging expertise in the healthcare sector.
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data insights, healthcare data, healthcare analytics, unstructured content analytics, computation-intensive analytics, ibm big data, enterprise-class data management
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it suitable for workloads such as databases and systems of reco
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Group M_IBM Q418
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
The Internet of Things (IoT) is rapidly emerging as a core transformational technology of the digital era. The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence - collaboration and integration between information technology and operational technology groups - to succeed. These two groups, however, often have different goals, performance metrics, and perspectives on both the collaboration and the outcome. This SAS/HPE-sponsored paper helps readers get a better understanding of the relationship, either real or perceived, between these two groups. Futurum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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SAS
Published By: Gleanster     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 387 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions, rankings and analysis of 39 solution providers. Social intelligence is being increasingly used today to describe the next rung on the evolutionary ladder of listening to and acting upon consumer conversation on the social web. That rung maps to a number of technology innovations. Chief among them are improved capabilities around analyzing and integrating all sources of voice-of-the-customer data to generate more actionable insights. Social intelligence also speaks to an emerging corporate mindset regarding the strategic importance of social data and the need to better capitalize upon it. This Gleansight benchmark report reveals how Top Performers are achieving success when it comes to the incessant quest to extract customer insights and take actions that ultimately translate into revenue growth, cost reduction, risk reduction and relationship enhancement.
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social intelligence, marketing, social media, gleanster
    
Gleanster
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