Spreadsheet Reporting – No Room in Your Company in an Age of Business Intelligence

It doesn’t take a genius to understand why spreadsheet reporting still pervades the enterprise despite the rise of a complex but highly effective IT solution known to big shot CIOs as Business Intelligence or BI.

If you’re still in the dark as to what BI is, don’t worry because we?ll enlighten you shortly.

Business decisions from disparate data sources

In the meantime, let’s talk about how you make business decisions. If you’re a top executive, then you make decisions based largely on reports submitted to you by your managers, department heads, and so on. They in turn obtain information from different sources, like the company ERP and CRM as well as other external sources (e.g. market surveys).

Now, before their reports ever reach your desk, a lot of data is extracted, shared, filtered, analysed, consolidated, and summarised so that they become actionable information. In all these activities, one software tool gets to take part in most of the action – the spreadsheet.

The problem with spreadsheet reporting

The problem with spreadsheets is that they have very poor built-in controls. Thus, they are susceptible to human errors and are vulnerable to fraud. What’s more, collecting data and manually consolidating them into spreadsheets can be very laborious and time consuming.

If you don’t get accurate, reliable information, your judgement will be fuzzy and your business decisions compromised. In addition, if you don’t receive the information you need on time, your business will constantly be at risk of breaching critical thresholds, which may even force it to spin out of control.

Business Intelligence – actionable information on time

This is mainly the reason why large companies implement Business Intelligence systems. BI systems are equipped with built-in features like reports, dashboards, and alerts.

Reports consolidate data and present them in a consistent format composed of intuitive text, graphs, and charts. The main purpose of having a consistent format is so that you will know what kind of information to expect and how the information is arranged. That way, you don’t waste time searching or making heads or tails out of the data in front of you.

Dashboards, on the other hand, present information through visual representations composed of graphs and gauges that are aimed at tracking your business metrics and goals. The main function of dashboards is to feed you with actionable information at a glance.

Finally, alerts keep you informed when certain conditions are met or critical thresholds are breached. Because their main purpose is to prompt you at the soonest possible time wherever you are, a typical alert can come in the form of an SMS message or an email.

As you can see, all three features are designed to get you making well-informed decisions as quickly as possible.

The problem with Business Intelligence and the alternative solution

The usual problem with full BI systems is that they can be very costly. Hence, if your organisation does end up implementing one, chances are, not everyone under you will be able to access it. As a result, some departments will be forced to go back to using spreadsheets.

If your company cannot afford a full BI system, then that probably means you don’t need one. What you need is a more affordable alternative. There are actually Software as a Service (SaaS) Business Intelligence solutions that may not be as comprehensive as a full BI system, but which may suffice for small and mid-sized businesses.

The disadvantages of spreadsheets are more damaging than you could have ever expected. Be free of it now.

 

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Spreadsheet Reporting – No Room in your company in an age of Business Intelligence

 

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Spreadsheet woes – Burden in SOX Compliance and other Regulations

 

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Why Spreadsheets can send the pillars of Solvency II crashing down

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Spend more to reduce costs?

It is becoming increasingly important to not to analyse energy consumption for all utility types, be it electricity, gas, water, heat, renewables, oil etc. The bottom line is both operational efficiency and utility costs monitoring. In the long run, these are management strategies designed to drive energy costs downwards as a continuous improvement cycle and as a measure of reducing carbon emissions.

It is also getting increasingly easier for organisations reduce energy use and achieve this goal using technology without having to “remember” to do it yourself. Organisations can never go wrong by investing in energy management software. There are varied software options to choose from depending on the organisational objective.
Some of the energy management objectives that organisations may need to meet are:

? Establishing baseline energy use

? Carrying out Energy audits

? Monitoring and measuring energy performance against the energy policies of an organisation and objectives

? Achieving energy certification
Energy management software?s come in handy when an organization wishes to achieve either of the above objectives.

Use of energy management software?s also assists organisations in measurement and verification of energy consumption as well as Monitoring and Targeting. Measurement and verification is where a company quantifies energy consumption beforehand (baseline energy use) and after energy consumption measurements are implemented in order to verify and report on the level of savings actually achieved.

Organisations that wish to verify the energy savings achieved by building retrofits can use energy management software?s. This is an important objective for companies that wish to either satisfy internal financial accounting and reporting requirements, or to meet the terms of third-party contracts for project implementation and management. Monitoring and targeting is also made easier by use of software. This is critical as a management technique, regardless of whether an organisation has specific facility retrofits in order to keep operations efficient and to monitor utility costs.
Overall, an investment in energy management software, is worthwhile in the achievement of management strategies designed to drive energy costs downwards as a continuous improvement cycle.

A Definitive List of the Business Benefits of Cloud Computing ? Part 3

Strengthens business continuity/disaster recovery capabilities

Today’s business landscape calls for companies to have reliable business continuity and disaster recovery capabilities. After all, when the system goes down, customers and even employees would rarely ask ‘why‘ or ‘what happened‘ but instead go directly to the ‘how soon can we get back up‘ part.

So unless they’ve been struck by the same unforeseen disaster your business is also experiencing, a couple of hours downtime is plenty enough for most of these people. What’s worse is when they simply don’t wait until they get access again and just go to other providers that can offer the same services. In short, your inability to provide continuous IT and business services could translate to lost opportunities which your competition would only be too willing to gain. And that’s not even counting the possibility of losing essential data and other potential negative impact that critical IT failure can bring about.

The answer to avoiding such a scenario is of course, having a sound business continuity and disaster recovery plan in place. But this is actually easier said than done.

Traditionally, setting up a business continuity plan entailed some tedious procedures in addition to very costly infrastructure. We’re talking here about acquiring and maintaining practically a replication of the hardware infrastructure and environments currently existing for business-critical systems and data. Note that these mirror systems should be set-up, housed, and maintained in a remote facility or location.

Making the deployment even more complex is the constant need to update the data in storage as well as keep software applications in sync between the system in use and the one on standby mode. This process would involve the physical transfer of data and syncing of applications, which is cumbersome and again, expensive.

While large enterprises would not even think twice about having to spend so much to ensure that operations would never come to a grinding halt, most small and mid-sized organisations would not have the required financial means for them to even start considering this option. Often, the bulk of their disaster recovery plan would simply consist of some tape backups, and a lot of hoping that they would never have to suffer from any outage or IT failure.

But all that can be changed with the arrival of cloud computing.

A cloud strategy offers an affordable solution for business continuity and disaster recovery for SMBs with limited resources and even big companies trying to minimise expenses by looking for alternative options.

A reliable service provider would already have the required infrastructure and software vital to a viable BC/DR plan and complete with the appropriate security measures. Organisations need not spend upfront for these facilities, but get to benefit from having updated data backup and a virtualised mirror system that would allow them to quickly get back up in the event of an outage or catastrophic disaster.

When looking to the cloud for a cost-effective BC/DR plan however, it’s worth keeping in mind that not all cloud providers are created equal. That’s why businesses also have many important factors to take into account before signing cloud contracts.

Yes, provision for continuity and and taking necessary precautions against outages are inherent in the cloud service itself, but you’d be surprised how many of these providers don’t actually take responsibility for service interruption. To give organisations some assurance of the cloud company’s capacity for continued service, contracts should stipulate availability guarantees and liability for downtime that the provider is willing to answer for.

Once these relevant issues are ironed out however, it’s easy for business to see how cloud-based data storage and computing can significantly lower the costs involved for SMB BC/DR while greatly improving efficiency, mobility, and collaboration capabilities.

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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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