Still Looking For A Way To Consolidate Excel Spreadsheets?

We use Excel spreadsheets everyday. We use them to prepare budgets and reports. We even use them when drafting plans and forecasts. With this ubiquitous office application, entering data and carrying out on-the-spot computations and analysis is quick and easy. However, when it’s time to consolidate Excel data, I won’t be surprised if you wished there was an easy way.

In fact, you were probably looking for a solution before landing on this page, right?

Because budgeting, reporting, planning, and forecasting are normally done by a group of people and not just by one individual, spreadsheets bearing the necessary data can be scattered in different folders, desktops, offices, and, in the case of really large organisations, geographical locations.

How are these data brought together? Through email attachments or by sharing folders in a local area network. Each member of the working team sends out copies of their own spreadsheets to other members, who then review them, make necessary changes, then send back to the source. The files can go back and forth until everyone is satisfied.

With each sending, sharing, and edit, business critical data gets exposed to all sorts of spreadsheet risks. Copy-paste errors, omission of a negative sign, erroneous inputs, accidental deletions, and even fraudulent manipulations can take place. And because each member can end up with multiple versions of a single spreadsheet, the chance of working on the wrong version exists.

So when all the data gets consolidated and finalised, it is possible for the end product to contain significant errors. It may not happen all the time, but it certainly can happen.

But that’s not the only disadvantage of spreadsheets. The entire process of comparing cells and sheets, copy-pasting data, linking cells, writing formulas, and specifying ranges can be very tedious, not to mention time-consuming. With spreadsheets, beating deadlines is always an almost impossible exercise.

What you need is a solution that will no longer require you to consolidate Excel spreadsheets. One that is faster, more reliable, and significantly less error-prone. Denizon has a server-based solution that has all those capabilities and much more.

With a server-based solution, all your data is stored in one place. Everyone is working on the same data source, so consolidation is fast and easy. Everyone becomes synchronised and no one has to worry about working on the wrong version.

Read more about our server-based solution

 

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What Is Technical Debt? A Complete Guide

You buy the latest iPhone on credit. Turn to fast car loan services to get yourself those wheels you’ve been eyeing for a while. Take out a mortgage to realise your dream of being a homeowner. Regardless of the motive, the common denominator is going into financial debt to achieve something today, and pay it off in future, with interest. The final cost will be higher than the loan value that you took out in the first place. However, debt is not limited to the financial world.

Technical Debt Definition

Technical debt – which is also referred to as code debt, design debt or tech debt – is the result of the development team taking shortcuts in the code to release a product today, which will need to be fixed later on. The quality of the code takes a backseat to issues like market forces, such as when there’s pressure to get a product out there to beat a deadline, front-run the competition, or even calm jittery consumers. Creating perfect code would take time, so the team opts for a compromised version, which they will come back later to resolve. It’s basically using a speedy temporary fix instead of waiting for a more comprehensive solution whose development would be slower.

How rampant is it? 25% of the development time in large software organisations is actually spent dealing with tech debt, according to a multiple case study of 15 organizations. “Large” here means organizations with over 250 employees. It is estimated that global technical debt will cost companies $4 trillion by 2024.

Is there interest on technical debt?

When you take out a mortgage or service a car loan, the longer that it takes to clear it the higher the interest will be. A similar case applies to technical debt. In the rush to release the software, it comes with problems like bugs in the code, incompatibility with some applications that would need it, absent documentation, and other issues that pop up over time. This will affect the usability of the product, slow down operations – and even grind systems to a halt, costing your business. Here’s the catch: just like the financial loan, the longer that one takes before resolving the issues with rushed software, the greater the problems will pile up, and more it will take to rectify and implement changes. This additional rework that will be required in future is the interest on the technical debt.

Reasons For Getting Into Technical Debt

In the financial world, there are good and bad reasons for getting into debt. Taking a loan to boost your business cashflow or buy that piece of land where you will build your home – these are understandable. Buying an expensive umbrella on credit because ‘it will go with your outfit‘ won’t win you an award for prudent financial management. This also applies to technical debt.

There are situations where product delivery takes precedence over having completely clean code, such as for start-ups that need their operations to keep running for the brand to remain relevant, a fintech app that consumers rely on daily, or situations where user feedback is needed for modifications to be made to the software early. On the other hand, incurring technical debt because the design team chooses to focus on other products that are more interesting, thus neglecting the software and only releasing a “just-usable” version will be a bad reason.

Some of the common reasons for technical debt include:

  • Inadequate project definition at the start – Where failing to accurately define product requirements up-front leads to software development that will need to be reworked later
  • Business pressure – Here the business is under pressure to release a product, such as an app or upgrade quickly before the required changes to the code are completed.
  • Lacking a test suite – Without the environment to exhaustively check for bugs and apply fixes before the public release of a product, more resources will be required later to resolve them as they arise.
  • Poor collaboration – From inadequate communication amongst the different product development teams and across the business hierarchy, to junior developers not being mentored properly, these will contribute to technical debt with the products that are released.
  • Lack of documentation – Have you launched code without its supporting documentation? This is a debt that will need to be fulfilled.
  • Parallel development – This is seen when working on different sections of a product in isolation which will, later on, need to be merged into a single source. The greater the extent of modification on an individual branch – especially when it affects its compatibility with the rest of the code, the higher the technical debt.
  • Skipping industrial standards – If you fail to adhere to industry-standard features and technologies when developing the product, there will be technical debt because you will eventually need to rework the product to align with them for it to continue being relevant.
  • Last-minute product changes – Incorporating changes that hadn’t been planned for just before its release will affect the future development of the product due to the checks, documentation and modifications that will be required later on

Types of Technical Debt

There are various types of technical debt, and this will largely depend on how you look at it.

  • Intentional technical debt – which is the debt that is consciously taken on as a strategy in the business operations.
  • Unintentional technical debt – where the debt is non-strategic, usually the consequences of a poor job being done.

This is further expounded in the Technical Debt Quadrant” put forth by Martin Fowler, which attempts to categorise it based on the context and intent:

Technical Debt Quadrant

Source: MartinFowler.com

Final thoughts

Technical debt is common, and not inherently bad. Just like financial debt, it will depend on the purpose that it has been taken up, and plans to clear it. Start-ups battling with pressure to launch their products and get ahead, software companies that have cut-throat competition to deliver fast – development teams usually find themselves having to take on technical debt instead of waiting to launch the products later. In fact, nearly all of the software products in use today have some sort of technical debt.

But no one likes being in debt. Actually, technical staff often find themselves clashing with business executives as they try to emphasise the implications involved when pushing for product launch before the code is completely ready. From a business perspective, it’s all about weighing the trade-offs, when factoring in aspects such as the aspects market situation, competition and consumer needs. So, is technical debt good or bad? It will depend on the context. Look at it this way: just like financial debt, it is not a problem as long as it is manageable. When you exceed your limits and allow the debt to spiral out of control, it can grind your operations to a halt, with the ripple effects cascading through your business.

 

Do you really need a Cloud Broker?

A cloud broker is someone who can serve as your trusted adviser when it comes to your dealings with a cloud service provider. Sort of an IT consultant who: is familiar with cloud computing, can negotiate a mutually beneficial relationship between you and a provider, and help you manage usage, performance and delivery of cloud services.?But do you need one?

Is it even time for cloud adoption?

Of course, if you haven’t even started considering moving your IT systems to the cloud, what’s the point of reading this article, right? Well, if you’re running a business in Ireland or the UK maybe you should start thinking about it. The benefits (of moving to the cloud) are simply overwhelming. But then that’s for another post.

For now, let’s just briefly talk about the rate of cloud adoption so far. This should give you an idea what other decision makers nearby think about cloud computing and what they’ve done in this regard so far.

According to research conducted by the Cloud Industry Forum (CIF), the number of first-time users of cloud computing in the United Kingdom has risen by about 27% compared to last year.

The study, which was carried out by research company Vanson Bourne and which involved IT decision-makers from both the private and public sector in UK, also showed that 61% of companies are subscribing to cloud-based services. A similar research conducted last year (2011) revealed only 48%.

In Ireland, plans are underway to adopt cloud computing. According to Pricewaterhouse Coopers, 75% of Ireland’s CIOs and IT directors are already adopting a cloud computing strategy.

Definitely, the number of cloud adopters is growing. If that number already includes your hottest competitor, then perhaps there’s no time to waste.

But while a migration to the cloud should be in your pipeline, it shouldn’t be something you should rush into. Generally speaking, there are at least three kinds of services offered by cloud service providers: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service).

Some providers offer variations of these services. You might only need one type of service or a little of everything. There are also technical and regulatory compliance issues that need consideration.

Obviously, if you have no idea where or how to start, you’ll need someone who can help you. But what kind of help do you need?

Let’s proceed by talking about the kinds of services cloud brokers offer as these are obviously indicative of the needs of current cloud customers.

What cloud brokers do?

Cloud brokers offer three main types of services.

Cloud?inter-mediation

Cloud inter-mediation services are designed to add value to existing services and improve capabilities. ?Examples of cloud inter-mediation include managing access to cloud-based services, carrying out performance reporting, and establishing stronger security.

Cloud aggregation

As mentioned earlier, some cloud customers may end up subscribing to multiple cloud services; most likely from different cloud service providers. To get optimal return on their various cloud subscriptions, these customers will need to apply data integration and make these disparate systems work together. They will also have to make sure data flowing from one system to another is kept secure. This is where cloud aggregation comes into play.

Cloud arbitrage

This entails finding the best cloud service provider(s) to solve a particular problem. One example is comparing different providers offering data storage services and identifying the one offering the most competitive rates.

Other cloud arbitrage brokers develop new solutions by combining the services of different cloud service providers and then offer them to cloud customers. While there are similarities between cloud arbitrage and cloud aggregation, the former is more flexible and allows the customer to transfer from one provider to another where conditions are more favourable.

Problems a cloud broker can help you solve

Just like with natural clouds, your experiences in cloud computing won’t be all white and fluffy. You’ll also encounter gray and uncertain (or even stormy) clouds.

One major issue in cloud computing is cloud security. In fact, cloud security (or the apparent lack of it) is the one thing that’s really clouding up the sky of cloud computing. But that doesn’t mean the cloud is totally insecure. Besides, there are certain types of information that really don’t require a high level of security. These types you can easily migrate to the cloud.

For sensitive information, you really need to conduct due diligence to make sure your cloud service providers’ data centres are secure enough.

Where exactly will your data be stored? Are there enough provisions for regulatory compliance? How will your data be segregated? Does the infrastructure readily support ?data forensics? Is there a sound disaster recovery/business continuity plan? These are just some of the questions that need clear answers before you sign a contract with a cloud service provider.

Suggested reading: 9 Cloud Security Questions You Need To Ask Service Providers

Also, before you sign, you need to study the SLA (Service Level Agreement) very carefully. Look at the guaranteed uptime. Is it enough to meet your own desired service levels?

Bear in mind that the answers to these questions may be too technical. This is one of those instances when a cloud broker can come in handy. As your trusted adviser, your cloud broker can break down the technical jargon and present everything in a language that you can make intelligent decisions from.

A cloud broker will also be able to study the cloud provider’s security architecture and policies and determine whether they’re sufficient to meet your own security requirements. Basically, a cloud broker will not only help you obtain answers to your questions.

He will also know exactly what vital information to extract from providers in order to ensure that you find the best deal possible.

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Using Pull Systems to Optimise Work Flows in Call Centres

When call centres emerged towards the end of the 20th century, they deserved their name ?the sweatshops of the nineties?. A new brand of low-paid workers crammed into tiny cubicles to interact with consumers who were still trying to understand the system. Supervisors followed ?scientific management? principles aimed at maximising call-agent activity. When there was sudden surge in incoming calls, systems and customer care fell over.

The flow is nowadays in the opposite direction. Systems borrowed from manufacturing like Kanban, Pull, and Levelling are in place enabling a more customer-oriented approach. In this short article, our focus is on Pull Systems. We discuss what are they, and how they can make modern call centres even better for both sets of stakeholders.

Pull Systems from a Manufacturing Perspective

Manufacturing has traditionally been push-based. Sums are done, demand predicted, raw materials ordered and the machines turned on. Manufacturers send out representatives to obtain orders and push out stock. If the sums turn out wrong inventories rise, and stock holding costs increase. The consumer is on the receiving end again and the accountant is irritable all day long.

Just-in-time thinking has evolved a pull-based approach to manufacturing. This limits inventories to anticipated demand in the time it takes to manufacture more, plus a cushion as a trigger. When the cushion is gone, demand-pull spurs the factory into action. This approach brings us closer to only making what we can sell. The consumer benefits from a lower price and the accountant smiles again.

Are Pull Systems Possible in Dual Call Centres

There are many comments in the public domain regarding the practicality of using lean pull systems to regulate call centre workflow. Critics point to the practical impossibility of limiting the number of incoming callers. They believe a call centre must answer all inbound calls within a target period, or lose its clients to the competition.

In this world-view customers are often the losers. At peak times, operators can seem keen to shrug them off with canned answers. When things are quiet, they languidly explain things to keep their occupancy levels high. But this is not the end of the discussion, because modern call centres do more than just take inbound calls.

Using the Pull System Approach in Dual Call Centres

Most call centre support-desks originally focused are handling technical queries on behalf of a number of clients. When these clients? customers called in, their staff used operator?s guides to help them answer specific queries. Financial models?determined staffing levels and the number of ?man-hours? available daily. Using a manufacturing analogy, they used a push-approach to decide the amount of effort they were going to put out, and that is where they planted their standard.

Since these early 1990 days, advanced telephony on the internet has empowered call centres to provide additional remote services in any country with these networks. They have added sales and marketing to their business models, and increased their revenue through commissions. They have control over activity levels in this part of their business. They have the power to decide how many calls they are going to make, and within reason when they are going to make them.

This dichotomy of being passive regarding incoming traffic on the one hand, and having active control over outgoing calls on the other, opens up the possibility of a partly pull-based lean approach to call centre operation. In this model, a switching mechanism moves dual trained operators between call centre duties and marketing activities, as required by the volume of call centre traffic, thus making a pull system viable in dual call centres.

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