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.

 

Convert visits to sales to repeat purchases

The moment you start seeing more than a thousand unique visitors in just one day, we won’t be surprised if you’d be grinning ear to ear the entire week. But when weeks turn into months, you’ll then remember why you started off on this venture in the first place … and it wasn’t about just owning an immensely popular website.

People, like you, who’ve chosen to invest in eCommerce were most likely thinking along the lines of great ROI, revenues, and profits. Now that you have thousands of visitors, how would you like to have, say for a start, 1% of them buying the products on your site?

You know more about your own product prices; you do the math. But what might really interest you is that a slight change in that 1% conversion rate can already spell a big difference in your profits. Now imagine bringing that 1% up to at least 10%. That’s possible, but not if you simply rely on guesswork.

We rely on tests applicable to complex multi-variable systems, just like today’s typical eCommerce websites, in determining which combination of copy text, landing page images, form layouts, and background colours generate higher conversion rates.

Here’s how we’ll convert your visitors into buyers:

  • We’ll conduct A/B or even multivariate tests on your eCommerce website, thus eliminating guesswork in determining how to increase those conversion rates.
  • We’ll perform on-site and off-site web analytics to gain a deeper understanding of web usage to aid in our optimisation operations.
  • Through our expertise in copywriting, graphics and web designing, UI designing, and website QA, we can enhance and fine tune your site to give each visitor a uniquely engaging browsing experience.
  • We can also integrate CRM (Customer Relationship Management) systems so that you’ll have the technical advantage to turn one-time buyers into repeat customers.
A Definitive List of the Business Benefits of Cloud Computing

When you run a Google search for the “benefits of cloud computing”, you’ll come across a number of articles with a good list of those. However, most of them don’t go into the details, which nevertheless might still suit some readers. But if you’re looking for compelling business reasons to move your company’s IT to the cloud, a peripheral understanding of what this technology can do for you certainly won’t cut it.

Now, cloud computing is not just one of those “cool” technologies that come along every couple of years and which can only benefit a particular department.?What we’re talking about here really is a paradigm shift in computing that can transform not only entire IT infrastructures but also how we run our respective organisations.

I hate to think that some people are holding back on cloud adoption just because they haven’t fully grasped what they’re missing. That is why I decided to put together this list. I wanted to produce a list that would help top management gain a deeper understanding of the benefits of the cloud.

Cloud computing is one bandwagon you really can’t afford not to jump into. Here are ten good reasons why:

1.?Zero?CAPEX and low TCO for an enterprise-class IT infrastructure

2. Improves cash flow

3. Strengthens business continuity/disaster recovery capabilities

4. Lowers the cost of analytics

5. Drives business agility

6. Ushers in anytime, anywhere collaboration

7. Enhances information, product, and service delivery

8. Keeps entire organisation in-sync

9. ?Breathes life into innovation in IT

10. Cultivates optimal environments for development and testing

Zero CAPEX and low TCO for an enterprise-class IT infrastructure

Most cloud adopters with whom I’ve talked to cite this particular reason for gaining interest in the cloud.

Of course they had to dig deeper and consider all other factors before ultimately deciding to migrate. But the first time they heard cloud services could give them access to enterprise class IT infrastructures without requiring any upfront capital investment, they realised this was something worth exploring.

A good IT infrastructure can greatly improve both your cost-effectiveness and your capability to compete with larger companies. The more reliable, fast, highly-available, and powerful it is, the better.

But then building such an infrastructure would normally require a huge capital investment for networking equipment, servers, data storage, power supply, cooling, physical space, and others, which could run up to tens or even hundreds of thousands of euros. To acquire an asset this costly, you’d have to take in debt and be burdened by the ensuing amortisation.

If you’ve got volumes of cash stashed in your vault, cost might not be a problem. But then if you really have so much savings, wouldn’t it be more prudent to use it for other sales-generating projects? An extensive marketing endeavour perhaps?

A capital expenditure of this magnitude and nature, which normally has to be approved by shareholders, can be regarded as a high financial risk. What if business doesn’t do well and you wouldn’t need all that computing power? What if the benefits expected from the IT investment are not realised??You cannot easily convert your IT infrastructure into cash.

Remember we’re talking about a depreciating asset. So even assuming you can liquidate it, you still can’t hope to sell it at its buying price. These factors are going to play in the minds of your Board of Directors when they’re asked to decide on this CAPEX.

Incidentally, these issues don’t exist in a cloud-based solution.

A cloud solution typically follows a pay-as-you-go utility pricing model where you get billed monthly (sometimes quarterly) just like your electricity. ?In other words, it’s an expense you’ll need to pay for?at the end of a period over which the service’s value would have already been realised. Compare that with a traditional infrastructure wherein you’ll have to spend upfront but the corresponding value will still have to be delivered gradually in the succeeding months or years.

demand expense traditional infrastructure

From the point of view of your CFO, what could have been a CAPEX to acquire an asset that depreciates with time (and consequently reduces your company’s net worth), becomes a flexible operating expense (OPEX).?Truly, it is an operating expense that you can increase, decrease, or even totally discontinue, depending on what the prevailing business conditions demand.

demand expense cloud infrastructure

People who think they have done the math in comparing cloud-based and traditional IT infrastructures claim that, although they see how cloud solutions transform CAPEX into OPEX, they really don’t see any significant difference in overall costs.

However, these people have only gone as far as adding up the expected monthly expenses of a cloud solution over the estimated duration of an equivalent IT infrastructure’s effective lifespan and comparing the sum with that IT infrastructure’s price tag. You won’t get a clear comparison that way.

You need to consider all factors that contribute to the infrastructure’s Total Cost of Ownership (TCO). Once you factor in the costs of electricity, floor space, storage, and IT administrators, the economical advantages of choosing a cloud solution will be more evident. Add to that the costs of downtime such as: interruptions to business operations, technical support fees, and the need to maintain expensive IT staff who spend most of their time “firefighting”, and you’ll realise just how big the savings of cloud adopters can be.

Still not convinced? Well, we’re still getting started.?On our next post, we’ll take a closer look at the additional benefits of paying under an OPEX model instead of a CAPEX model.

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