Field Service Organisations should use Digital Forms

For many Organisations, making use of paper based forms, is a common practice and method for collecting data and recording transactions. Whether it be for producing Quotations, Invoices or even getting sign off on completed jobs.

Paper based forms and documents have been the main stay of office communication and productivity for over 200 years. Paper-based forms are used to create anything from Invoices, Receipts, Purchase Orders, Contracts to the humble internal memo!

Paper-based forms radically improved productivity, efficiency and compliance by enabling people to create paper based instructions and enabling others to add additional information as required.

Over the past 3 decades or so, modern business environments have gradually been evolving towards the concept of the Paperless Office, resulting in the humble Paper based document migrating to a Digital Counterpart. The ease of availability of various Word Processing and Spreadsheet software products and cheap and easy data storage capacity have resulted in the Proliferation of thousands if not millions of files and documents being stored somewhere on the Company’s IT infrastructure.

People often create Digital Templates of forms that may be printed off and supplied to staff to complete using Pen and Paper or electronically. The data collation and reporting is often process

Often when conducting Operational Reviews, it is commonly found that the processing and analysing paper based forms is the least productive, efficient and profitable areas of business, although it is often vitally important.

Benefits of using digital forms for data collection

The ability to collect and analyse data effectively is increasingly important to businesses. Companies gather, examine, process and build reports on large volumes of data. Traditionally, they have deployed mail surveys, telephone interviews, door-to-door interviews as methods to collect information. With the ongoing digitisation, these procedures have become old fashioned.The digital transformation is changing many business operations at a high speed and a great deal of processes that were executed manually are now accomplished using digital methods.

Technology has had a major impact on how to approach data research and has provided researchers new tools that have transformed and improved data collection and analysis. The pace of change requires companies to be able to react quickly and adapt themselves to changing demands from customers and market conditions.

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Making Click-and-Collect click

In my previous post, I introduced you to integrated e-commerce and explained why it is the right way to extend your business online. If you already have a brick-and-mortar retailing business and you’re looking to improve your online presence, you could start offering a click-and-collect service.

With click-and-collect, customers order online and then collect their merchandise from one of the retailer?s local branches. Why would they want to do that?

Apparently, there are buyers who now prefer a click-and-collect service over the delivery service of a purely online retailer. With the latter, they sometimes have to wait forever for the delivery van to arrive or contend with a missed-delivery card.

Basically, customers who want both the convenience of placing orders online and better control of their time find click-and-collect a better option.

Last December 2011, IMRG (Interactive Media in Retail Group) reported a ?significant rise in the percentage of click-and-collect e-retail sales in the 3rd quarter of 2011?. This accounted for 10.4% of all e-retail sales in that quarter. More specifically, the gain was 7.4%, which was also the strongest quarterly gain since IMRG started collecting this data.

Clearly, this particular service is gaining popularity. But how do you meet the rising demand in this area?

A click-and-collect service requires a highly synchronised ecosystem. You don’t want to have a customer order items from your online store, drive a couple of minutes from his house to your nearest outlet, only to find out that one of the items is no longer available.

This can only work if all systems involved are interconnected. Changes in the inventory in your individual outlets should reflect on your database in real time. In turn, these changes have to be reflected instantly on your online store. Conversely, once a buyer has picked items online and is already directed to a local outlet, those items have to be reserved there.

But that’s not all. Your system has to be seamless enough to support fast and reliable service. You don’t want your buyer to have to wait a long time before the items are ready for pick-up. It also has to be capable of tracking the status of ordered products, handling uncollected orders, and monitoring inventory.

By implementing an integrated e-commerce system, these won’t be the only things you?d be able to do. You can even add more value to your service. For example, you can connect to your CRM and learn more about your customers? purchase history, buying habits, and preferences.

That way, it would be easier for you to provide a faster and more convenient buying experience for them in the future.

Click-and-collect is a very promising way to increase your sales and improve customer loyalty.

Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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Failure Mode and Effects Analysis

 

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

  • Discover the possible risks that can come with a product or process;
  • Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
  • Monitor the action plan results, with emphasis on how risk was reduced.

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