While we must continue to emphasize to all members of the care team that they are the front line to preventing errors, taking a systems or holistic approach will greatly assist in making adverse events rarer. Aiding in the implementation of the latter are many companies that provide incident reporting, analysis, and review systems.
Tips and best practices for data analytics executives
Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time.
This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
The role of FP&A professionals during the first two weeks of the month entails rushing for month closure, gathering data sets, reports, and scrutinizing, processing and analyzing data in Excel workbooks in discussion with the top management. Increasing revenues, optimizing costs, and aligning with the overall business strategy are a few familiar goals laid down for financial planning and analysis (FP&A) professionals. These goals trickle down from finance leaders who are under constant pressure to provide accurate and timely reporting and analysis to support effective decision making. Read on to know how can digitizing FP&A help the finance team to make more robust decisions and be a key part of the finance transformation.
Analyzing hiring costs checklist
Are you planning to hire new employeeS? Or trying to be more strategic in your recruitment process? This HR Audit checklist is here to help! Download today to start analyzing your hiring costs.
HR audit checklist is here to help. Download today and start analyzing your hiring costs.
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
The spatial analytics features of the SAP HANA platform can help you supercharge your business with location-specific data. By analyzing geospatial information, much of which is already present in your enterprise data, SAP HANA helps you pinpoint events, resolve boundaries locate customers and visualize routing. Spatial processing functionality is standard with your full-use SAP HANA licenses.
Published By: Cisco EMEA
Published Date: Mar 05, 2018
The Cisco® Incident Response team is led by elite security specialists who can uncover the source of threats by analyzing and synthesizing intelligence from multiple sources. These sought-after specialists consistently deliver resolution in a shorter timeframe, returning businesses like yours to normal. Fast.
To find out more about Cisco Incident Response Services download this whitepaper today.
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
The Cloud, once a radical idea in IT, is now mainstream. Whether it’s email, backup or file sharing, most consumers probably use a cloud service or two. Similarly, most IT professionals are familiar with cloud service providers such as Amazon, Google and Microsoft Azure, and many companies have moved at least some of their information technology processes into the cloud. In fact, the cloud has become so popular it’s easy to assume that running IT applications on-premises is not cost competitive with a cloud based service. In this report Evaluator Group will test the validity of that assumption with a TCO (Total Cost of Ownership) model analyzing a hyperconverged appliance solution from HPE and a comparable cloud service from Amazon Web Services (AWS).
This white paper can help you confirm that your small business or distributed enterprise needs to invest in an effective next-generation firewalls (NGFW) solution. For small businesses, the
NGFW should provide an affordable and manageable entrée to advanced threat protection. In branch offices and the distributed enterprise, NGFWs should provide a detection and enforcement point, analyzing real-time threats and network traffic at scale and benefiting from an integrated and holistic view of the network of which it is a part. In both use scenarios, the NGFW should help your organization defend against targeted and persistent malware attacks, including emerging threats.
“The biggest problem with big data is using it.”
Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, and some clear recommendations on how to proceed.
Get the white paper to see Forrester's key findings.
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time.
AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance.
In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences.
Join this webinar to learn:
How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development.
How AWS supports BI solutions f
Published By: Oracle CX
Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions
of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by
the aggressive build-out for cloud computing. Big data and machine learning applications that perform
tasks such as fraud and intrusion detection, trend detection, and click-stream and social media
analysis all require forward-thinking solutions and enough compute power to deliver the performance
required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of
business up, and organizations need to support their customers with real-time data. The task of
managing sensitive information while capturing, analyzing, and acting upon massive volumes of data
every hour of every day has become critical.
These challenges have dramatically changed the way that IT systems are architected, provisioned,
and run compared to the past few decades. Most companies
Published By: Oracle CX
Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been
top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar
database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as
quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data
from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure
1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP
database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks
can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data.
In-memory databases have helped address p
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes.
This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
Published By: Teradata
Published Date: Jul 07, 2015
As cyber security challenges continue to grow, new threats are expanding exponentially and with greater sophistication—rendering conventional cyber security defense tactics insufficient. Today’s cyber threats require predictive, multifaceted strategies for analyzing and gaining powerful insights into solutions for mitigating, and putting an end to, the havoc they wreak.
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace.
Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
Published By: Genesys
Published Date: Dec 11, 2013
Gartner recently released its Magic Quadrant for Contact Center Workforce Optimization, the annual report analyzing the workforce optimization industry. Gartner positions vendors based on Completeness of Vision and Ability to Execute.
Genesys improved its 2013 position moving from Niche Player to the Challengers Quadrant. This report provides you with insights you need to determine the Workforce Optimization Solution that is right for your organization. Read Now.
Published By: Genesys
Published Date: Jul 27, 2016
Customer service has been, and will continue to be, a central concern for most companies. Designing and delivering a positive customer experience relies heavily on the framework and capabilities of your call center or contact center, specifically the ability to support omnichannel interactions.
The IDC MarketScape examines 12 key players in the worldwide contact center infrastructure and software (CCIS) market, analyzing their current capabilities as well as longer term strategies that impact their ability to service customers and gain market share going forward.
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs.
Download “The Essential Guide to Infrastructure Machine Data” for:
The benefits of machine data for network, remote, web, cloud and server monitoring
IT infrastructure monitoring data sources to include in your machine data platform
Machine data best practices
Published By: Trifacta
Published Date: Feb 12, 2019
Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with people. In this latest Data Science Central webinar, guest speakers Forrester Principal Analyst Michele Goetz and Trifacta Director of Product Marketing Will Davis focus on the roles and responsibilities required for today’s modern dataops teams to be successful. They touch on how new data platforms and applications have fundamentally changed the traditional makeup of data/analytics organizations and how companies need to update the structure of their teams to keep up with the accelerate pace of modern business. Watch this recorded webcast to learn: What are the foundational roles within a modern dataops team a
Published By: Trifacta
Published Date: Feb 12, 2019
Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with people.
In this webinar, guest speakers Forrester Principal Analyst Michele Goetz and Trifacta Director of Product Marketing Will Davis focus on the roles and responsibilities required for today’s modern dataops teams to be successful. They touch on how new data platforms and applications have fundamentally changed the traditional makeup of data/analytics organizations and how companies need to update the structure of their teams to keep up with the accelerate pace of modern business.
Watch this recorded webcast to learn:
What are the foundational roles within a modern dataops team and how to align skill set
As you likely know, mobile testing is the art and science of building, running, and analyzing optimization tests for mobile customer experiences. What you may not know, like many marketers, is how to do mobile testing really well. It starts with a solid mobile marketing strategy and ends with an effective mobile experience.
Download this guide for the best advice from analysts, engineers, and thought leaders on how to help mobile-minded businesses master the non-desktop landscape.