Automation is already pervasive in our lives—from tried-and-true mechanized assembly lines to the dawn of self-driving cars. But how can you use advanced forms of automation to improve your business processes?
Download this starter guide for a detailed look at robotic process automation (RPA), a type of automation that can help you:
Also explore the definition and features of RPA, as well as the types of automation software.
Datacenters are the factories of the Internet age, just like warehouses, assembly lines, and machine shops were for the industrial age. Over the course of the past several years, riding the wave of modernization, datacenters have become the heart and soul of the financial industry, which each year invests over $480 billion in datacenter infrastructure of hardware, software, networks, and security and services.
Produced in collaboration with INFOPRO Digital with participation from Capgemini
MAINTENANCE MADE EASY WITH THE HELP OF DATA
Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations.
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.
Published By: StreamSets
Published Date: Sep 24, 2018
Treat data movement as a continuous, ever-changing operation and actively manage its performance.
Before big data and fast data, the challenge of data movement was simple: move fields from fairly static databases to an appropriate home in a data warehouse, or move data between databases and apps in a standardized fashion. The process resembled a factory assembly line.
From assembly and pick-and-place to material handling and packaging, the use of robots is on the rise in factory automation. Extremely customizable in even the most complex applications, automation systems are beneficial for a wide variety of reasons. Taking the plunge into automation, however, can be confusing and daunting. With so many factors to consider, you may be wondering, “Where do I start?” With over 35 years of experience in the automation industry, we have broken down the process, step-by-step, to guide you on your journey. Keep in mind that this guide is a broad overview, but can serve well as a starting point for those new to automation.
Published By: IBM ILOG.
Published Date: Jul 14, 2009
This white paper explains how a business rule management system can make business process automation easier to understand, maintain and manage. Compare BRMS with other business automation schemes, like traditonal software coding or standard business rule engines. Learn how the Welsh Assembly Government and a United States commercial lender have implemented business rules to make a difference in their business processes.
Social media allows consumers to be empowered in a brand new way, forcing organizations to change the way they traditionally do business. With unprecedented access to unstructured and structured data, companies have more information about the customer’s entire lifecycle than ever before.
The way companies listen and react to customers through social channels is crucial for businesses today. Social data is raw, real, uniquely insightful and the most authentic representative that marketers have seen in many years. Companies have the opportunity to take rich data and truly learn, understand and engage customers better than they ever have before. Hear how companies like General Motors are using Social Command Centers to improve their customer experience interactions and drive product innovations.
Across the automotive industry, organizations are using analytics to transform all aspects of their business. In the vast
majority of instances, the analytics performed is on data that is already available within the organization or wider automotive ecosystem, but has not yet been tapped to use its full potential. Analytics can unlock the value held in this data, helping to answer key “what if” questions across the organization and the value chain. For example, what if dealerships could better understand their customers’ digital journey? Or what if manufacturing could improve visibility into parts, assembly and vehicle inventory?
There's no place to hide and ride out the fundamental transformation underway in the automotive industry today. Ignore changes caused by this transformation and you risk your long-term survival. But with pains can come gains, and innovative automotive executives know there's a way to turn today's adversity into long-term business advantage.
Direct digital manufacturing, otherwise known as rapid manufacturing, is a process that employs additive fabrication technology (aka rapid prototyping) to produce end-use items. Directly from CAD data, components are manufactured without molding, casting or machining. The impact of direct digital manufacturing is far-reaching, and the opportunities and advantages are extensive. This is why direct digital manufacturing is heralded as the next industrial revolution.
In good economic times, success simply means keeping pace. After all, the market is demanding your company’s products and services, and your responsibility is simple: keep up with the demand no matter what it takes. Most managers, whether they are business managers or technology managers respond to this situation the same way. They hire more people to shoulder the increased load. Sales managers seek out more sales reps. Foremen bring more assembly workers online. Customer service beefs up the call center. And IT managers hire more administrators to maintain the constant flux of demands from users, applications, systems, and networks.
Published By: Infoblox
Published Date: Jun 11, 2012
The dynamic nature of virtual and private cloud environments cannot be accommodated by an underlying infrastructure that is a static, physical assembly of routers, switches, servers, and firewalls. Find out more in this complimentary white paper
Published By: BlackLine
Published Date: Apr 10, 2017
For many, the idea of Robotic Process Automation (RPA) might conjure images of large automated assembly line welders and pickers. But RPA actually refers to software robots, or applications that replicate human interaction with a user interface on a computer system. Download now to learn more!
Be ready for the future today, with Sage Business Cloud Enterprise Management
To manage this growing technology and business complexity, modern ERP is a must for distributors.
It’s needed due to:
• A need for multiple sales channels, both offline and digital
• Ever-growing product portfolios, including offerings that may be customized, complex or bundled
• The addition of value-added services, which could include assembly and labelling
• Pricing, rebates and the addition of incentives that could drive profitability
• Calculation and demand complexity, which increases the need for customer segmentation
Modern ERP is the driver of digital transformation for a distribution business. It can provide streamlined processes, centralize back office functions, allow new service offerings, and help in understanding profitability.
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