The more holistic view of risk a property underwriter can get, the better decisions they are likely to make. In order to build up a detailed picture of risk at an individual location, underwriters or agents at coverholders have, until now, had to request exposure analytics on single risks from their portfolio managers and brokers. Also, they had to gather supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones to look-ups on Google Maps.
Published By: Corrigo
Published Date: Sep 12, 2019
We’re living in a new era defined by data, analytics, and intelligence. It can sound overwhelming, but once you understand how to make all this information work for you, it becomes really exciting.
The Intelligence Economy has already changed our day-to-day lives, and it’s revolutionizing the world of facilities management. The best FMs don’t just understand this change – they embrace it.
With a better handle on intelligence, you will see immediate results. From warranty enforcement to asset repair vs. replacement decisions, Corrigo’s collective intelligence can improve your bottom line and make you better at your job.
Read on to learn how Corrigo makes the Intelligence Economy work for you.
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network.
Read this story to discover:
• how data and analytics can transform operational performance
• the benefits of using decision-support tools in the middle office
• key lessons for getting your plans for digital transformation right.
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions.
Download this datasheet to learn:
What makes EBX™ software unique
Various capabilities of EBX software
The data it manages
The Insurance industry continues to undergo significant transformation, with
new technologies, business models, and competitors entering the market at an
increasing rate. To be successful in attracting and retaining the most valuable
customers, insurance companies must innovate and increase the speed at which
they respond to customer demands. Traditionally, the insurance software market
was dominated by a handful of specialist vendors with products that were initially
expensive, difficult to deploy, costly to maintain, and did not provide the speed
needed for today’s market.
Now there has been a shift away from these “black box” applications to platforms
that allow insurers to make their algorithmic IP available to business users, allowing
much faster response to business demands. The algorithmic platform approach also
comes at a fraction of the cost of black box solutions, while delivering advanced
analytical techniques like Machine Learning and Artificial Intelligence (AI).
Published By: Anaplan
Published Date: Sep 10, 2019
A few years ago, the slow, spreadsheet-driven mode of sales and operations planning (S&OP) may have sufficed, but today, it’s utterly inadequate. A disconnected process can’t keep pace with a dynamic market.
Enter the next-generation of S&OP: dynamic, connected, and powered by cloud-based technology. When planners from across the business are able to work in unison, executives can make better-informed decisions that positively impact the bottom line.
Download this paper to learn:
Six essential phases of S&OP
An in-depth exploration of each phase
How to make next-generation S&OP a reality with cloud-based technology
IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences.
But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved?
This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides:
• 7 best practices for data privacy and security policies
• 7 items to consider for device security
• 6 key considerations for network connection security
Published By: Infosys
Published Date: Sep 12, 2019
Digital-born companies have challenged large long-established businesses across industries with newer data, AI-powered experiences, products/services. Sustained competitive advantage through customer ownership and seller power has since been significantly challenged and overturned. Customers are taking to newer AI and data-powered products/services in their pursuit of better experiences and exponentially higher value. This has triggered every company to challenge status-quo, unleash themselves from very structure of industry and embrace transformation in the new world.
Data and AI have shaped themselves into a major economic force that is at the epicenter of transformation of every industry; through 3 horizons. Data, in the first horizon, was the key ingredient in driving more data-driven decisions. Data, in the second horizon, is playing a transformational role in the enterprises' pursuit of being Data Native Digital Native enterprise.
Six hours a day. According to research, that’s how much of a lawyer’s time, on average, is spent on administrative tasks or new client development (sound familiar?). Fortunately, technology and the data it generates can help you streamline systems and processes — and reveal important insights about your firm. But what tools should you use? How should you implement them? We’ve got the answers. Our guide outlines what you need to know when leveraging technology to reduce admin inefficiencies and, better yet, increase cash flow. You’ll learn how to identify what metrics matter most to your practice: like billable hours, profitability by client and hiring decisions. It also spotlights helpful tools, like PwC’s InsightsOfficer, that turn data into insights, impacting your firm’s performance.
The bar for success is rising in higher education. University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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.
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.
Do you know your people as well as you know your customers? Your people’s expectations and the way they work are changing. Employees are more diverse, mobile and technologically savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything from attracting and keeping the best talent to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions. Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people better and
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
Published By: OpenText
Published Date: Mar 13, 2017
Take a look at this infographic to learn how Enterprise Information Management solutions can help you make better decisions faster, gain competitive advantage, speed time-to-value, and empower your organization.
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time.
This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
Published By: Oracle CX
Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s
databases, accessing and using the right information at the right time has
become increasingly critical. Real-time access and analysis of operational
data is key to making faster and better business decisions, providing
enterprises with unique competitive advantages. Running analytics on
operational data has been difficult because operational data is stored in row
format, which is best for online transaction processing (OLTP) databases,
while storing data in column format is much better for analytics processing.
Therefore, companies normally have both an operational database with data
in row format and a separate data warehouse with data in column format,
which leads to reliance on “stale data” for business decisions. With Oracle’s
Database In-Memory and Oracle servers based on the SPARC S7 and
SPARC M7 processors companies can now store data in memory in both
row and data formats, and run analytics on their operatio
Finding new ways to make better, more confident decisions. As a supply chain planning professional, it’s what you do. But if you find yourself working in a siloed environment, the ability to make better decisions is consistently hijacked by the need to create yet another workaround simply to ensure your supply chain lives to see another day.
In this eBook, we’ll look at the characteristics of a siloed supply chain environment and identify some of the ways your organization can modernize the planning experience. Ultimately, it comes down to connecting data, people and processes to create the transparency you need to help your organization realize better outcomes for executives, planners, manufacturers, suppliers and most importantly, your customers.
Published By: IBM APAC
Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
Published By: Dell EMC
Published Date: Nov 09, 2015
The webinar is an excellent resource to provide attendees with the kind of comprehensive and collaborative perspective needed when exploring the implementation of big data solutions. The real-world examples provide information that can enable better decisions for designing best-of-breed big data solutions for organizations.
In July 2013 Acxiom commissioned Forrester Consulting to evaluate how companies use the data they collect from their customers to make better decisions on their marketing campaigns by gauging their experiences and attitudes around their use of and future vision for using customer data across multiple marketing channels. In order to understand this topic, we conducted interviews with 11 executives representing a range of roles and perspectives, including consumer packaged goods companies, financial services organizations, and agencies.
Published By: Bloomberg
Published Date: Jun 11, 2012
Bloomberg Government (BGOV) is a unique online service that helps business and government leaders understand the business impact of government actions through a combination of in-depth analysis, best-in-class data, analytical tools, and award winning journalism, enabling better decisions. bgov.com
Get the facts about successfully integrating BYOD into your enterprise. Of all the obstacles standing in the way of building a better IT infrastructure, misinformation may be the most daunting. To help you separate the facts from the hype, the experts from HP Technology Consulting have created this informative eBook. It’s designed to provide the immediate insight you need to make the right decisions about some of the most important IT issues your enterprise will ever face.
Credit Union Times is the nation's leading independent source for breaking news and analysis for credit union leaders. For more than 20 years, Credit Union Times has set the standard for editorial excellence and ethical, straight-forward reporting.