Archive for the ‘RPA and DMS’ category

Digital transformation with Dynamics 365,

October 28th, 2018

Microsoft Dynamics 365 business applications enable you to accelerate digital transformation within your organizations.

Join Mike Ehrenberg, Technical Fellow, Microsoft, and Brenda Bown, General Manager, Business Applications Product Marketing, along with leaders from the engineering team, including Muhammad Alam, General Manager, Dynamics 365 for Finance and Operations and Laurel Reitman, General Manager, Dynamics 365 for Talent, to get an overview of the latest innovations coming to market in the October 2018 release of Dynamics 365.

This session showcases capabilities that enable you to drive deeper customer relationships, to optimize operations, to engage employees, and to use data and AI to adapt to the changing market and capture new opportunities.

To learn more, contact Synergy Software Systems based in Dubai since 1991, implementing Dynamics solutions for enterprise companies in the Middle East and Africa since 2003.
Synergy Software Systems
Working together
00971 4 3365589.

Dynamics 365 – Ai and mixed reality apps in October 2018 release

October 21st, 2018

AI and mixed reality business applications for Microsoft Dynamics

Dynamics 365 was introduced two years ago and breaks down the traditional silos of customer relationship management (CRM) and enterprise resource planning (ERP). Microsoft has reimagines business applications to be: modern, unified, intelligent and adaptable solutions that are integrated with Office 365 and natively built on Microsoft Azure. The azure platform has enabled the release of new AI and mixed reality applications, that will deliver out-of-the-box insights by unifying data and infusing it with advanced intelligence to guide decisions and empower organizations to make informed actions:

Dynamics 365 AI for Sales: Helps salespeople prioritize their time to focus on deals that matter most, offers a detailed analysis of the sales pipeline, and surfaces insights that enable smarter coaching of sales teams.

Dynamics 365 AI for Customer Service: Surfaces automated insights that help guide employees to take action and leverage virtual agents to help lower support costs all without writing any code.

Dynamics 365 AI for Market Insights: Helps empower marketing, social media and market research teams to make better decisions.

Machine elarning – Azure cognitive services

October 20th, 2018

Machine learning is used in many applications these days, in fact, you are using Machine learning on a daily basis through a smartwatch or smart devices.

Use Machine learning is to make applications to detect patterns in the input provided Create an algorithm to detect these patterns to end up with the machine learning model.

Azure Cognitive Services
• Ready-made machine learning models that your applications can consume using REST APIs
• Create a learning algorithm, or train the model. Most of this is taken care of by Microsoft.
• APIs are hosted in the Azure Cloud are easily accessible and scalable.
• Cognitive Services come under your Azure subscription, and are consumed on a pay per use basis.

Many available APIs to address business problems.
• Azure Cognitive Services helps to determine the patterns and develop algorithms and to train the use of the data.
• Azure Cognitive Services are REST APIs that expose a machine learning model to the outside world.
• Your application will consume the Cognitive Service API methods to get the desired output.

Train Data:
Use Machine learning to analyze the data for patterns and to develop algorithm that finds the patterns in training data, further analyzes it, and maps these attributes to the correct answers or output.

Learning Algorithm: Learning algorithms find the patterns in the training data from which it can create a training model.

Training Model: The model is an output of the training process. After the model is ‘trained’, it is exposed to the client applications which send the data to the model and to get the desired response /recognized pattern as the output. The entire training process is a black box to the user, and only the ‘trained model’ is exposed to outside applications.

It’s not feasible to explicitly program all scenario and possibilities. Arthur Samuel, one of the pioneers of ML said “Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed.”.

Windows 10 and the ‘edge’

October 13th, 2018

Microsoft recently announced in ablog post. “Windows 10 IoT delivers innovation and intelligence at the edge with the October 2018 Update” The Windows 10 October 2018 update will deliver ‘edge’ intelligence with machine learning, industrial strength security, new silicon options, and additional monetization models for distributors and sellers for enterprise Internet of Things (IoT) projects.

The edge” is a theoretical space where a data center resource may be accessed in the minimum amount of time. The edge, in simple terms, is where you generate, collect, and analyze data i.e. where the data is generate. Edge computing technology is applied to smartphones, tablets, sensor-generated input, robotics, automated machines on manufacturing floors, and distributed analytics servers that are used for “on the spot” computing and analytics.

Traditional datacenter architecture is all about central computing powerhouses, from where information is sent and received across globally spread networks. Here, the larger the distance between the endpoint and the datacenter, the higher the response time. In many applications, this incrementally larger time gap is inconsequential. However, in many others, it’s critical. For example:
• when the computation required for rendering the content is carried out close enough to AR and VR devices.
• Autonomous vehicles require near real-time feedback from external networks to make course corrections and avoid collisions
• In IoT, many analytical actions need to be carried out closed to the devices that generate the source data.
• HD video content, if cached closer to large concentrations of people who’re likely to access it, means that providers can avoid large costs of transmission over networks provisioned by third-party carriers.
• Critical infrastructures such as oil and gas facilities require the highest levels of precautions to avoid system failures that could escalate into catastrophes. Edge computing allows for data from temperature and humidity sensors, IP camera, pressure and moisture sensors, and handheld devices. The data is analyzed, processed, and then sent back to users in near real-time, helping them prevent malfunctions.

Edge computing is all about achieving geographical distribution so that computing power can be taken closer to the endpoints that need it most. So, instead of only relying on a dozen giant datacenters, edge computing provides for the cloud to come closer to places/people/devices where there’s a business case for reducing response times even by a few hundred microseconds.

Critical security and safety systems always need to function on premises. You need these systems to operate or fail in a safe state regardless of what happens to the cloud or the connection. The simplest on-premises approach is a big red shut-off button on each machine. Azure IoT Edge enables a more complex safety system.
Example: You monitor the temperature across a range of machines and if the combined temperature gets too high you need to shut down all machines to prevent damage or risk to human operators. A safety system at the level of the individual machine is not enough, because it can’t track combined temperature across multiple machines. Your safety system needs to be one level higher to monitor and control multiple machines, and you can do this with Azure IoT Edge.

• By 2020, it’s expected that there will be more than 5,600 million smart sensors and connected IoT devices across the globe.
• The data generated by these devices will be to the tune of 5,000+ zettabytes.
• The IoT market size is expected to reach $724 billion by the end of 2023.

Most of this data will be generated at enterprise endpoints located on the “edge” — such as sensors, machines, smartphones, wearable devices, etc. We can consider these to be located on the “edge” because they’re far away from the central datacenter of the organization.

This massive data can’t simply be relayed to the central server because it will overwhelm the entire network. Enterprises will implement edge computing so that massive data doesn’t have to be transported to corporate datacenters. Instead, advanced operational analytics will happen at the remote facilities, to enable site managers and individuals to act in real time on the available information.

Microsoft Windows 10 customers can now commercialize devices with new servicing options:
• A Semi-Annual Servicing Channel, offers two feature update releases per year,
• A Long-Term Servicing Channel, provides security and quality updates without any new features over a 10-year period. The long-term model is ideal for commercial IoT devices, including point-of-sale systems, ATMs, and industrial equipment controllers, which all require strong security and fewer feature updates.

A new cloud service subscription, called Windows 10 IoT Core Services, offers companies the services to commercialize a device on Windows 10 IoT Core, including both long-term OS support, and services to manage device updates and assess device health. This will help device manufacturers to lower support costs, and will help distributors create better business models to create customer value.

Microsoft has added the ability to do more work at the edge, including: machine learning, event processing, and image recognition, “Seamless integration with Azure IoT Edge brings cloud intelligence and analytics securely to Windows 10 IoT devices at scale,”

Windows Machine Learning allows developers to use pre-trained machine learning models in their applications, which can be evaluated and adjusted as needed at the edge.

Microsoft also added support for NXP i.MX 6, 7 and 8M series processors to Windows 10 IoT Core.

Windows 10 IoT also includes turnkey support for both Azure IoT Device Management and Microsoft Intune to provide more scalable device management for enterprise IoT deployments.

https://azure.microsoft.com/en-us/blog/microsoft-azure-enables-a-new-wave-of-edge-computing-here-s-how/

https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge

https://www.zdnet.com/article/where-the-edge-is-in-edge-computing-why-it-matters-and-how-we-use-it/

The acatech Industrie 4.0 Maturity Index is a six-stage maturity model that analyses the capabilities in the areas of resources, information systems, culture and organisational structure that are required by companies operating in a digitalised industrial environment.

https://www.acatech.de/Publikation/industrie-4-0-maturity-index-managing-the-digital-transformation-of-companies/

AI why will it make any difference?

October 1st, 2018

For all the talk around the rise of AI, or Artificial Intelligence, the technology isn’t new. We use AI in our daily lives.

Predictive text is the most visible example.Google searches, Word spellcheck are examples. You frequently text a friend to meet at the mall. You type: “Meet me at the …” Your phone suggests “park” or another common place to meet. Over time, your phone learns, and the suggestions start to prioritize “mall” over other words.

A basic case is that AI:
• takes data,
• analyzes it,
• implements a solution (suggesting the next word),
• evaluates the results (recognizing that you almost always type “bar” with that friend),
• and then repeats the process with improved recommendations based on data.
• Over time, the system grows smarter.

Typically ‘triggers’ to execute a ‘script’ were ways to automate processes. A log fiel is mintored and akey word triggers a support ticket, or runs a script.Over time thje system learns and can predict and run checks before the error happens.
Other examples of AI in everyday life include pricing on ridesharing apps, facial recognition in social media and even non-player characters in video games.

Until recently, the technology was available to a few companies with deep pockets. To take advantage of AI, you had to have a big data center, specialized software and data scientists in house. We’ve reached a tipping point. With cloud-based technology, companies of all sizes can more easily plug into AI-infused applications at a much lower entry cost.
AI is the next big disrupter in many industries.

Let’s look at the wholesale trading industry. Here are two ways you can leverage AI to benefit a business:
Optimize where a team spends their time.
- Imagine the ability to direct your Accounts Receivable team to the late-paying customers that are most likely to respond.
– AI can help distributors differentiate between those who aren’t going to pay and need to be turned over to collections, and those who are more likely to pay with just one phone call.
- AI could also direct a call centre team to focus on certain times of day to increase the likelihood someone picks up the phone. Given the importance of cashflow to distributors, this is a powerful application of the technology.
- The same idea goes for a sales team. With which customers should they be spending more time? AI can identify the data points that influence purchasing, such as whether a prospect downloaded a whitepaper, they have an account exec assigned to them, or they have previously purchased related products.

It could even be something you can’t control, like the weather forecast. If it’s going to be 110 degrees, you can expect an uptick in sales of air conditioning units or parts to fix them in certain geographies. AI can identify these opportunities for salespeople. AI then adjusts those recommendations based on how customers respond, and the cycle continues.

Grow sales and margin with existing customers.
When a customer is checking out on a website, via your call center, at the counter or through another channel, how can you engage them more? Enter AI. For example, let’s say that data show that electrical contractor customers of a particular size regularly buy red, green, white and black 10-gauge copper wire at the same time. So when an electrical contractor of that size selects just red, green and white, a salesperson should be prompted to ask: “Are you forgetting black?” Chances are, the customer will add black wire to the basket.

To identify those relationships, however, and to code them into your system is a lot of work. We can do much of this already with BI analysis and on screen prompts.Add to that the evaluation of whether the offers were effective – how often they were accepted, how often they weren’t (and why) – and adjusting for that on the next sale, or updating sales scripts and offers. It becomes increasingly difficult if not impossible to do that manually across thousands of products.
AI can do this far more quickly and effectively than a human can, and can have a big impact on the top line. A foodservice distributor grew sales volume by 5% nearly overnight after turning on an AI-powered cross-sell and upsell recommendation engine on their website.

This is not just about selling online. Sure Distributors use cross-sell/upsell technology to grow share across their channels. However, they can also provide more meaningful, targeted content to make the customer’s selection process smoother and better informed, to draw his attention to designs or offers that are likely to be of interest, and so on. The ROI can be huge, and it requires very little upfront work by humans.

Pricing software is a more mature application of AI-based technology, determining the optimal price for a particular item based on lost sales, historical sales volume, competitor pricing, and potential for up sell or cross sell or repeat sell. and other data points. Hotels and airlines use revenue yield management. If it’s a business trip they may feel you will spend more in their restaurant on an expense account. I may only book when rates are cheap but I might always eat in house use, pay tv, and order wine with my meal and be a more profitable customer. If my rooms for tonight or my airline seats are less than 50% sold then I might discount heavily to ensure I sell enough to cover costs, but once past 80% I may charge a premium price because you may be desperate with little choice and a few high value sales will make up for the one or two I lose.

If a product has excess stock and is nearing the end of its shelf life, or a cinema is going to be half empty then AI can auto trigger instant sms sales promotions or happy hours but can it learn and predict and better tune the films shown in a given cinema, and whether average clothes sizes are trending bigger, or whether some colours and sizes will sell better in one branch than another and how that correlates with other data, How much is spent on marketing, what other sales are happening nearby, are temperatures going to rise, what si te epxcted change on the exchange rate or inflation rate or oil price and will that affect the number of tourist, and will revised parking fees affect who shows where and when?

is this a Big Brother nightmare, or does it mean that we are going to get better service because what we need to buy is going to be in stock even before we realise we need it.

As new younger generation z employees are hired into purchasing roles, they expect the kind of customer experience that AI-powered technology can deliver. This technology is here now. It’s not just a technical decision. There are real business benefits to using AI, including growing average order size, boosting margins and tightening customer relationships.

Filehold latest features

September 30th, 2018

There was a new elease of FileHold- version 16, in August 2108. For a FileCare customer on support the cost of upgrading the server is automatically included with your FileCare agreement.

The new release fetures both new features and enhancements which willowe rthe cost of owenrship. A key feature is improved viewing technology which adds inot the web client the popular page manipulation features previously only available in the desktop client. Move around pages in a document, move pages from document to document, or remove pages altogether.

The g viewer functionality also has enhanced DOCX rendering fidelity for the level 1 version and best rendering for the level 2 viewer.

A long list of image formats and some more document formats are added to the level 1 viewer with several more document formats added to the level 2 viewer.

Users licensed for the level 2 viewer also get a bonus “Assemble” feature for the user to merge multiple files of different types into a single PDF.

It enables the special field tags introduced with the workflow ‘convert to PDF’ feature to be used for any of the documents or template documents that will be added either to the beginning. or the end. A wider range of document formats are available for conversion and tag replacement than in convert to PDF. Fill your documents with metadata and workflow signoff sheets.

A document search feature that was previously only available a third-party viewer is added. Automatically search inside the document based on a simple search in the document library or type your own search term. A column of matches automatically appears for the user to quickly jump to many places in the document.

The self-service (anonymous, formerly “guest”) portal is matches the way users are configured in the system to give one simple dialog to configure a portal. This simplified the user interface for the self-service portal users removes several elements that do not apply to them.

A new style report and management page for user management.User mass edits also got a big makeover.

Administrators now have lots of options to configure the columns and filters they use and to save different configurations for easy reuse.

Workflow:

Integration with Adobe Sign has been available for a while as an add-on. Now that Adobe Sign is a part of workflow the integration also includes Adobe’s latest OAuth authentication and REST API. Any main documents you add to a workflow can be sent to be signed by the Adobe technology and when the signing is complete the documents are automatically returned as new versions to FileHold.

The workflow status report, signoff sheet, and the document usage log all reflect the Adobe signature and provide convenient links to all the details that Adobe stores about the signature. All you need is an Adobe account and a license for the optional Adobe workflow activity feature.

Starting with 16.0 Filhold has converted all applications and there is now a single application pool to manage and support for TLS 1.2 that does not require any special setup for Windows Server 2012R2 or later. It willsimplify life for IT managers getting excited ahrden the secuirty of the FileHold server.

Multi-factor authentication is now integrated into the product as an optional feature, with www.duo.com as the authentication provider.Filhold has implemented multi-factor authentication in such a way that existing applications should work unchanged until you decide to enable multi-factor.

There are many minor improvements to FileHold like: a result count for folder views just like we have always done for searches, unlimited upload and download sizes for the desktop client, removing the requirement to save Office documents before adding to FileHold, and adding comments to Courier notifications and many more.

Schema lookups and unlimited database dropdown menu fields were added to version 14, and are now configured in nearly every new system we deliver and used in many new ways. Use cases from the field have inspired big enhancements which increase the flexibility of these features. For schema lookups we can now use the custom query method to use up to five metadata fields as runtime parameters instead of just one. This opens up a lot of possibilities for creative SQL to enhance the ability for users to get the correct metadata onto a document with minimum effort.

Dropdown menu fields are great – until you have 100,000 id values to choose from. Then they are a challenge. Filehold has enabled “search” fields for the dropdown. Configure up to five additional fields to be used for user selection and provide end users with a little popup and a new style list interface to filter and to group the configured options to easily choose the exact value, or many values to be selected.

for moe information contact us 0097143365589

Gitex 2018- See Filehold DMS with Synergy Software Systems

September 30th, 2018

Meet us with Globalis to see how advanced cheque scanners and a modern DMS solution work together.

Talk to us about how repetitive automation can help you match hundreds of thousands of invoices, or to reconcile claims, or to reconcile multiple bank accounts.

Let us show you how easy it is to drillback from any key field in any application, back to the source doument and all related documents in Filehold.

RPA solutions from Synergy Software Systems

September 30th, 2018

Robotic process automation (RPA) is the use of software robots to perform simple, repetitive tasks, such as data entry or certain employee onboarding tasks. Unlike AI, RPA cannot make judgments about future scenarios.

Organizations often deploy RPA bots in place of an ERP system or use them in conjunction with an existing ERP system. While ERP systems automate many business processes, these don’t automate all processes. This is where bots become useful. Usually, a bot does not have to be directly integrated into an ERP system to interface with it.

When RPA technology came on the market, it was primarily adopted by the financial services industry. Now, it is popular across all industries, and organizations have a variety of software vendors from which to choose. A few software startups rule the RPA market most founded in 2005 or earlier, but they didn’t become successful until they entered the RPA market.

However, for a complete solution other features like OCR document scanning, electronic form capture, document drill back from any application, document absed workflows also come, into the picture. Synergy Software Systems provides a complete solution with proven tools like Filehold for DMS, and Abbyy for advanced document scanning (inlcuidng support for Arabic). We also provide the application knolwdge to interface to major erp and financial sytems like SunSytems, or Dynamics 365.

Why is the RPA Market Growing so Quickly?
Using bots to complete repetitive tasks saves organizations time and money and reduces errors. Bots also allow employees to focus on higher-level work instead of mundane tasks. In other words, the return on investment is huge. Every organization wanting to compete in the digital era is considering RPA technology. Strategic marketing has also contributed to the growth of the RPA market. The use of the word “robotic” in conjunction with “process automation” evolved into the concept of Artifical Intelligence (AI). Taking advantage of the popularity of AI, the RPA market skyrocketed.

Another reason for the market’s growth is that RPA technology is often relatively low cost, in a market of skill shortage and rising employment costs. Initial implementation typically doe’t require extensive customization or deep systems integration. Filehold for example can be deployed quickly and deliver signifcant operational benefit even before an RPA project is underway.

RPA Implementation Challenges
The RPA market continues to grow despite rampant implementation failures. One reason that organizations think because RPA is often quick and easy to implement they can rush through implementation without proper planning or a long-term roadmap. Design your system with a vision of where your business is headed in the next two to five years, and then you can configure bots to fit your future business model.

When evaluating RPA vendors, look for a flexible solution that aligns a culture of flexible, agile, continuous improvement.

The Future of RPA
RPA technology will become more sophisticated as software companies move beyond the automation of simple tasks and begin automating more advanced processes. Eventually, ERP vendors may acquire RPA (soon to be AI) companies to extend their own AI functionality. However, if you are to inteegrate across applications and platforms then your won tools may be a better option.

Organizations implementing RPA are getting even more creative byintegrating RPA with cognitive technologies, such as machine learning, speech recognition and natural language processing, to automate processesthat previously required human judgment. Many organizations are putting this type intelligent automation, on their strategic agendas for the next year.

Automation technology has eliminated jobs in the past, so its reasonable to expect that more advanced automation will eliminate just as many, if not more, jobs. In response to this fear, organizations are developing reskilling plans, to maximize employee retention and to sue them for higher value, judgement based tasks rather than to do repetitive work best done by automation.

Why Consider RPA?
In this digital era, organizations have to contiuously redefine the way they work. While the need for new technology is urgent, first focus on aligning your people and processes with your digital strategy. An RPA implementation should be part of a holistic digital transformation initiative. Build a strong foundation, and your organization can realize numerous benefits from RPA technology, not only cost savings, but reduced cycle time and improved customer serviceand staff satisfaction.

Filehold – ask Synergy Software Systems about document management for the U.A.E.

November 30th, 2015


Courier documents


Mobile document management

http://www.businessnewsdaily.com/8031-best-windows-document-management-software.html

“We recommend FileHold as the best document management system for businesses using Windows. We chose FileHold from dozens of document management system options.
Why FileHold?
Ease of use
FileHold is a self-hosted document management system for businesses using Windows computers. It has the same look and feel of programs you’re already accustomed to using, and the interface is designed specifically with Windows Explorer in mind. The filing structure incorporates the same cabinet, drawer, folder and subfolder approach that Windows uses. So, once the software is installed, employees should have no trouble grasping how to use and navigate it.
We like FileHold’s clean interface. It isn’t cluttered with icons or images. All you see when logging in is the file library running down the left-hand side of the page and a search bar along the top. The majority of the page remains blank until you start filing, searching for or opening documents. This approach keeps you on the same page the entire time you’re using the system. Many of the other systems we examined force you to toggle back and forth between pages depending on the task you’re working on.
The FileHold library structure is designed with Windows Explorer in mind.
Adding to the system’s ease of use are the MyFileHold folders, which are placed on top of the general library of cabinets and drawers on the left-hand side of the page. The MyFileHold section features separate folders for employees’ “favorite” documents, their checked-out documents, any alerts or reminders they have, the files they recently accessed and the files they recently added to the system. This provides a quick snapshot of the documents currently being worked on and the files that need immediate attention.
Each employee can customize various portions of the system with their personal preferences. This option isn’t offered by all of the document management systems we examined. When looking at specific documents, employees can choose the tools they want to be quickly accessible. Quick links can be added for a variety of tasks, such as adding files, linking documents together and checking out files. Additionally, you can choose the metadata attributes — like document type, version, number of linked files and the author — that are shown alongside the file’s name.
Filing documents within the software is simple and can be done in many ways. You can drag and drop files already on your computer or network, as well as scan documents directly into the system. The Microsoft Office integration also allows you to add documents you are working on in Microsoft Word, Excel, Outlook or PowerPoint with just a click of a button.

Document Management – Dubai, U.A.E., Qatar, Kuwait, KSA, Oman, Bahrain – anywhere! Synergy Software Systems

March 4th, 2014

As we move more and more into the digital world the need to access documents electronically, anytime anywhere is of increasing importance. To complement our financial and erp systems we have also provide solutions such as fax software, print management software and document management. Many erp systems have some facility for document linking or attachment e.g Dynamics CRM and Dynamics Ax. However the document repository is usually best kept outside the erp system for many reasons e.g.:
- Users need an erp license to access documents stored in an erp system
- Documents stored in an erp system are usually static in contact because those relate to specific transactions and time and should not be subject to changes and version control.
- Documents take up database space and increase the size of the erp system back ups thereby extending downtime on the operational system
- There may be document workflow processes outside of erp.
- OCR scanning and searching are generally not supported within erp systems

Filehold is a modern feature rich comprehensive document system which integrates with SharePoint and we extend it with Arabic OCR. It is available on premise or on-cloud.

There are several considerations to select and to introduce a document management system. For example:

How many documents?
What types of documents?
What is the mix of document types e.g., what % are created soft copy by applications e.. erp systems, email systems and thus don’t need scanning or physical printing and filing , and how many are received as hard copies e.g. faxes, or printed contracts?
Do you receive faxes as hard copy print outs or do you use a fax software to send and to receive?
How many users?
How many locations?
Will hard copy documents need to be scanned?
If so, then will there be a central scanning department or will users have individual access to scanners?
Do you already have scanners in place?
Is OCR scan conversion required?
If so then does this need to be multi lingual e.g. Arabic or English?
Do you need to ocr scan dual language within the same document? e.g. a bi-lingual Arabic-English contract?
How much integration is needed to other systems and how easy is this e.g. from within email systems, or within erp systems?
will the document management system work with you collaboration system e.g. SharePoint?
Does it offer version controls?
Does it offer workflow approval processes?
What will be done about legacy hard copy documents- how many are there?
How long would it take to unbind, scan, ocr convert, index, and then re-file?
Does it provide the right security Access controls to digital documents rather than to physical documents?
Which physical documents will still also be filed?
How should it be phased in e.g. by one function or one department at a time?

Business case?
For a knowledge-worker time is money. If the average annual cost of an engineer is ~$100k then how much of that workers time is consumed searching for amendments in paper contracts?

Modern businesses create complex contracts that often require multiple revisions and many authorizations. Creating and managing those contracts electronically in a document management system saves time and frustration and ensures that everyone is working with the most current version of a document.

Filehold provides important features for contract management that : maintains security, allows users to collaborate, provides alerts and reminders as to contract expiration or renewal dates. It is essential that the solution allows project users at site users to look at and even check out contract documents from anywhere in the world from where they have access to the Internet.

Engineering organizations and engineering departments create large and complex design and report documents. Being able to put these documents into a document management workflow for review and approval saves time and money. Tight version control ensures everyone uses with the most recent version of a document.

There are obvious cost saving benefits stemming from document management such as reduced printing, postage, and physical storage costs. The more significant benefits from the business impacts:
• Rapid find and search of key data and files for timely decision making based on all the related information
• Version control to ensure the correct prices, designs and contractual terms are used.
• Streamlined electronic processes,
• Support for compliance and audit trails and avoidance of legal disputes

If you are drowning in documents and want to streamline our business, reduce errors, improve collaboration, reduce errors and ensure compliance then document management is often one of the fastest solutions to implement with the quickest ROI.

Ask us for a demo: 00971 43365589