As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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.
This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
New market entrants are shifting the way the financial sector operates, new business models are changing customer expectations, and ever-changing client demographics are forcing businesses to adapt the way they work.
As we move into a decade of artificial intelligence (AI) and digital innovation, huge opportunities are opening up for the financial sector to combat these changes. But with this comes new challenges, and exponential increases in available information must be accompanied by smart tools and processes to make sense of it, ensure regulatory compliance, and add real value to clients.
To find out more, download this ebook!
At a Glance:
With the new CA Project & Portfolio Management (CA PPM) 15.3, you can tailor projects to any business unit with drag and-drop ease. Whether complex workflow for HR or simple task management for sales, workers now spin up projects in minutes—not days. Add in-app collaboration to eliminate redundant meetings, a familiar Microsoft Excel®-like grid to manage budgets, a new connection for third-party business intelligence (BI) tools to unearth answers, and you have the most modern project portfolio management app on the market today.
Download this whitepaper today to find out more about CA PPM 15.3—a simple, powerful and practical project portfolio management tool available on-premises and in the cloud—let you modernize the project management office.
The latest version of CA Project & Portfolio Management facilitates core financial activities with the ease and familiarity of a spreadsheet.
Two years ago, CA began to reevaluate how organizations were leveraging their project and portfolio management solutions. Our goal was to identify ways CA Project & Portfolio Management (CA PPM) could better serve every user, from project, resource and financial managers to executive decision makers and team members.
CA PPM 15.3 simplifies the job of the financial manager with Microsoft Excel®-like functionality, embedded communication and collaboration features, and direct links to the industry’s most popular reporting and business intelligence tools.
Auf einen Blick
Mit dem neuen CA Project & Portfolio Management (CA PPM) 15.3 können Sie Projekte für beliebige Geschäftsbereiche ganz einfach per Drag-and-drop maßschneidern. Ob komplexe Workflows für die Personalabteilung oder einfaches Aufgabenmanagement für den Vertrieb – Projekte sind nun statt erst nach Tagen innerhalb weniger Minuten eingerichtet.
Mit der In-App-Kooperation eliminieren Sie überflüssige Meetings, Budgets verwalten Sie mit einem vertrauten Raster ähnlich wie in Microsoft Excel®, und dank der neuen Verknüpfung mit Business Intelligence (BI) Tools von Drittanbietern lassen sich versteckte Antworten aufspüren. Sie verfügen damit über die modernste Projektportfoliomanagement-App, die derzeit am Markt verfügbar ist.
Business decision making is undergoing a data-infused renaissance.
Organizations are tired of the limitations of spreadsheets and
dealing with long IT business intelligence (BI) development cycles
just to gain access to the data they need now. Fortunately, with
the advent of visual analytics and discovery tools (many offered
in the cloud), the journey to data insight is getting simpler and
faster. Rather than trying to divine meaning from a group of
predefined reports or simple static dashboards, visual analytics
helps users gain insights from data more quickly using intuitive data
visualization. Increasingly, visual analytics tools provide easy-touse
data preparation features for better data access. They support
collaboration, mashups, and storytelling.
TDWI Research sees growing interest in applying more modern,
up-to-date tools for working with data.
Published By: Attunity
Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity.
Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
Ask the average business user what they know about Business Intelligence (BI)
and data analytics, and most will claim to understand the concepts. Few, however,
will profess to know how analytics works or to have the skills needed to put it
into practice. Despite being knowledgeable about their industry and experienced
in running their organizations, the majority of business users lack expertise in
analytics and visualization techniques—but that doesn’t stop them from wanting
to have a go.
This situation has led to ease of use and accessibility becoming the main focus
for recent updates from all the leading BI vendors—but making tools easier and
more widely accessible is only part of the answer.
A better approach is to work both sides of the gap. To make tools that can
empower business users to discover and unlock value in their data—and that
extend capabilities for experts, so they can share the analytics workload, improve
efficiency, and focus on higher level work.
Florida Hospital Celebration Health has long recognized that nursing is a key factor in the efficient delivery of high quality patient care. Nursing also represents the hospital’s highest cost of labor. Given these factors, administrators at Celebration Health sought business intelligence tools to better understand current nursing performance and pinpoint opportunities for workflow improvements leading to higher patient and staff satisfaction.
Read this case study to learn more about how Florida Hospital Pioneers used RTLS and business intelligence to analyze and improve nursing workloads and workflows.