Published By: McKesson
Published Date: May 27, 2015
The shift to value-based care creates a sharp increase in healthcare organizations and networks’ need for data collection, aggregation and analysis. This white paper outlines the challenges involved with performing population-level analyses, developing cost accounting and profitability analyses across care settings, evaluating care episodes and integrating quality data. It explores the limitations of targeted software solutions to provide cross-enterprise insights. Finally, it provides advice for healthcare executives regarding how to approach gathering quality and cost-related data and how to leverage technology and analytical expertise to drive risk-based contract success.
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. U.S. marketers are poised to double their spend on location-targeted mobile ads between 2017 and 2021 to $32 billion, according to research firm BIA/Kelsey. Understanding location is key to gaining insights and making change.
HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them. This gives them well-timed and relevant advertising.
How can brands make the most of the growing opportunities offered by location data? Understanding location and its connection to customer behaviour is key to gaining full and reliable insights and making efficient change.
HERE is building and sharing real-time location intelligence which reveals why customers make transactions in specific places. HERE’s Open Location Platform contextualises consumer motivations in the world around them. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE also shares its own insights into the future of reaching customers on their mobile devices as they travel, including in-car advertising.
Published By: Lookout
Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps.
Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
Massive amounts of data are being created driven by
billions of sensors all around us such as cameras, smart
phones, cars as well as the large amounts of data across
enterprises, education systems and organizations. In
the age of big data, artificial intelligence (AI), machine
learning and deep learning deliver unprecedented
insights in the massive amounts of data.
Published By: Workday
Published Date: May 09, 2018
ERP Must-Haves for Finance: Leave behind cumbersome reporting, spreadsheets, and data
that offers zero insights. IDC MarketScape has put together a guide to help you find the best finance and
accounting applications. Read an excerpt of the report to learn today’s must-have ERP capabilities and
why the IDC MarketScape positioned Workday in the Leaders category.
Published By: Workday
Published Date: Aug 07, 2018
From the rise of data analytics to new needs in budgeting, the shift to value-based medicine is bringing a fresh set of challenges to healthcare CFOs. How can you best meet these new demands and turn change into opportunity? This Becker’s Hospital Review eBook compiles 10 must-read articles that offer executive tips, actionable insights, and noteworthy trends for healthcare finance technology.
Published By: Workday
Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
Does your current software give your business the visibility and flexibility you need to be responsive and competitive, or is outdated software negatively impacting business growth and excellent service?
The retail world is becoming more complex. eCommerce has grown in the U.S.—from $42 billion to $236 billion in the last decade*—and lifestyle shopping is raising customer expectations. Having the right retail management software solution—one that can keep up with your business needs and the increasing pace of technology—is critical.
Given the recent advancements in technology—and higher customer expectations—perhaps it’s time to ask if your retail management software is up to the task of nurturing and managing your growth over the coming decade.
Epicor has been a part of successful retail businesses for years. Here are some risks you may face from using outdated software:
1. Excessive labor costs and hiring gaps
2. Operational inefficiencies
3. Insufficient data and insights
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
Published By: Verisign
Published Date: May 31, 2017
Verisign has a unique view into distributed denial of service (DDos) attack trends, including attack statistics, behavioral trends and future outlook. The below data contains observations and insights about attack frequency and size derived from mitigations enacted on behalf of customers of Verisign DDoS Protection Services from January through March 2017.
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.