Published By: Cisco EMEA
Published Date: May 15, 2018
Your employees, customers, and partners need the ability to connect and collaborate, at any time, from any location—across time zones or simply across the conference table.
And those workplaces are expanding faster than ever, powered by mobile and cloud usage that makes virtual meetings essential. With scalable and secure voice, video, and content sharing, real-time collaboration can happen anywhere. Staying connected can lead to improved productivity and faster decision-making, as well as better customer service. But only if the technology offers a seamless experience and is intuitive enough to drive user adoption. While the need for better meetings is universal, not all conferencing tools are the same.
Choosing the wrong tool could actually decrease productivity by wasting valuable meeting time troubleshooting the technology, or by providing a negative experience that will deter users from embracing it. This is especially true in situations where poor meeting quality could impact
Several years into the app economy, business has changed. Accelerating product cycles and competitive threats now demand continuous planning. Change is constant and managing it is more important than ever. As a result, companies that for years have taken a traditional approach to managing initiatives are moving rapidly to implement agile business practices. And they’re seeing results, in the form of improved quality, faster delivery of value, reduced development costs and increased customer satisfaction.
But this transition also creates new challenges and responsibilities for the project management office (PMO). In fact, the success of the transformation often hinges on the PMO’s ability to expand the underlying concepts of the agile development methodology into a companywide ethos¬—a concept known as business agility.
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.
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making.
Download this new paper to get the details behind self-service data analytics, and how it lets business analysts:
Take charge of the entire analytical process, instead of relying on other departments
Overcome limitations of legacy tools to save time and prevent errors
Make more comprehensive and insightful business decisions at speed
Organizations that want to apply consistent data management, governance and security practices across their organization can learn a lot from Ford Motor Company. Data-driven decision making led Ford Motor Company to perfect the vehicle assembly line in 1913. A century later, Ford had more than 4,600 data sources, and a wide range of analytical tools, methods, and processes in use throughout the company, and needed a more strategic approach to decision-making.
In today's big data digital world, your organization produces large volumes of data with great velocity. Generating value from this data and guiding decision making require quick capture, analysis and action. Without strategies to turn data into insights, the data loses its value and insights become irrelevant. Real-time data inegration and analytics tools play a crucial role in harnessing your data so you can enable business and IT stakeholders to make evidence-based decisions
This Aberdeen report demonstrates how highly effective financial planning, budgeting and forecasting enables good decision making, even in periods of major change.
Dynamic financial planning enabled through five key elements -- process, organisation, knowledge management, technology and performance enhancement -- can give business leaders the tools to take prompt action and emerge even stronger.
Better health care at lower costs, for everyone – how do health care providers get there? Understanding the gaps in patient care, patient needs, and the geographic distribution of the patient population are important elements to consider when making decisions about improving the quality of care and reducing its costs.
To effectively analyze gaps in patient care, the data needs to be in a single place or system. However, in many organizations, data is spread across a myriad of spreadsheets and database systems. Data not organized for visual exploration and coherent analysis isn’t useful for decision making. Hence the need for visually appealing and scalable analytical tools to help organizations be more efficient, effective and economically successful.
Published By: Datawatch
Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
See what's new in IBM Cognos Business Intelligence V10.1 that makes it possible to connect everyone in your organization with the insight, analytics and information they need to make better, faster, smarter decisions.
Today data sources are still not detailed enough to support competitive decision-making, and that’s what makes Drillinginfo (DI) so innovative: The DI platform offers the most inclusive, accurate, and fastest information available, allowing OFS companies to make informed decisions and drive the best leads — that can turn into opportunities.
With DI, OFS companies can now make rig data useful quickly and easily. Sales managers can work crucial data into an actionable format, provide and implement the right analytical tools, and supplement lead intelligence, so operators don’t get left in the dust.
From permitting and leasing information to rig locations and pricing trends, you’ll find innovative products and solutions from DI to help transform how your team qualifies leads and closes deals. See how Drillinginfo can drive your success by gathering the very latest rig intelligence from a comprehensive, easy-to-use SAS solution.
Data drives decision making across the enterprise. For sales executives, it’s critical to have
information about where to focus outreach and understand what potential customers are looking
for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to
advanced insights and machine learning that process algorithms and crunch millions of data points,
new purchase patterns and propensity models are emerging to guide sales leaders as to what will
work best for their business.
Read this paper to learn how to act on advanced insight in the sales and marketing process.
The enormous potential of new data tools and analysis
Resources needed to act on the insight
Strategic and operational recommendations
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