Spreadsheet Woes – Limited Features For Easy Adoption of a Control Framework

Like it or not, regulations are here to stay and for a company to comply with them, its IT and financial systems will have to be equipped with a suitable control framework. One common stumbling block to such an implementation is a company?s over-reliance on spreadsheets.

Why is it so difficult to adopt controls for a system that’s reliant on spreadsheets? To understand this, let’s pinpoint some of the strongest, most powerful attributes of these User Developed Applications (UDA).

By nature, spreadsheets are the epitome of simplicity: easy to develop, easily accessible and easily altered. All computers in your workplace will most likely have them and everyone in your organization may be sharing them, making their own versions, and storing them in personal folders.

Sad to say though, these strengths are also control weaknesses and constitute the very reasons why spreadsheets require effective risk management.

Easy to develop. Being easy to develop, most spreadsheet systems are created by non-IT users who have limited knowledge on best control practices. Being constantly under time pressure, these ?developers? may also relegate documentation, security, and data verification to the back burner in favour of coming up with a timely report.

Easy to access. Information in a spreadsheet can be opened by practically anyone within the organization?s network. Who accessed what? And when? If anything goes wrong, it would be difficult to identify the culprit, and the failure to pinpoint responsibility for erroneous data could lead to bigger, more costly mistakes.

Easy to alter. Lastly, if the information is easy to access, then it can also be easily altered, consequently making reports more prone to both accidental errors and fraudulent modifications.

The rise of multimillion dollar scandals due to accidental and intentional spreadsheet errors have prompted regulatory bodies to publish guidelines for mitigating spreadsheet-associated risks. These controls include:

Change control
Version control
Access control
Input
Security and data integrity
Documentation
Development life cycle
Backup and archiving
Logic inspection/Testing
Segregation of duties/roles, and procedures
Analytics

In theory, these controls should be able to bring down risks considerably. However, because of the inherent nature of spreadsheets, such controls are rarely implemented effectively in the real world.

Take for example Security and Data Integrity. One of the most common causes of spreadsheet error is due to ?hardwiring?. This happens when values are inadvertently entered into a formula cell, naturally changing the logic of the spreadsheet.

As a way of control, cell locking can be applied on the formula cells to prevent users without the proper authority from making any changes. However, when reporting deadlines approach drawing spreadsheets to the forefront of data processing, more people are given access rights to the locked cells. Ironically, it is during these crunch times, when errors are most likely to happen.

Because the built-in features of a spreadsheet support none of the controls mentioned above, some companies are tempted to purchase control-enabling programs for spreadsheets just to continue using them for financial reporting. But although these programs can integrate the required controls, you?d still be interacting with the same complex and outdated interface: the spreadsheets.

Thus, these band-aid solutions may not suffice because the root cause of these problems are the spreadsheets themselves.

Learn more about our server application solutions and discover a better way to implement controls.

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How DevOps Could Change Your Business

Henry Ford turned the U.S. auto industry on its head when he introduced the idea of prefabricating components at remote sites, and then putting them together on a production line. Despite many industries following suit, software lagged behind until 2008, when Andrew Clay Shafer and Patrick Debois told the Agile Conference there was a better way to develop code:
– Write the Code
– Test the Code
– Use the Code
– Evaluate, Schedule for Next Review

The term ?DevOps? is short for Development and Operations. It first appeared in Belgium, where developers refined Shafer and Depois? ideas. Since then, DevOps became a counter movement against the belief that software development is a linear process and has largely overwhelmed it.

DevOps – A Better Way

DevOps emerged at an exciting time in the IT industry, with new technology benefiting from a faster internet. However, the 2008 world recession was also beginning to bite. Developers scampered to lower their human resource costs and get to market sooner.

The DevOps method enabled them to colloborate across organizational boundaries and work together to write, quality assure and performance test each piece of code produced in parallel.
DevOps? greater time-efficiency got them to market sooner and helped them steal a march on the competition.

There are many advantages to DevOps when we work in this collaborative way. Cooperation improves relationships between developers, quality assurers and end users. This helps ensure a better understanding of the other drivers and a more time-effective product.

Summary of DevOps Objectives

DevOps spans the entire delivery pipeline, and increases the frequency with which progress is reviewed, and updates are deployed. The benefits of this include:

? Faster time to market and implementation

? Lower failure rate of new releases

? Shortened lead time for bug fixes and updates

The Psycho-Social Implications of DevOps

DevOps drills through organization borders and traditional work roles. Participants must welcome change and take on board new skills. Its interdepartmental approach requires closer collaboration across structural boundaries and greater focus on overarching business goals.

Outsourcing the detail to freelancers on the Internet adds a further layer of opportunity. Cultures and time zones vary, requiring advanced project management skills. Although cloud-based project management software provides adequate tools, it needs an astute mind to build teams that are never going to meet.

The DevOps movement is thus primarily a culture changer, where parties to a project accept the good intentions of their collaborators, while perhaps tactfully proposing alternatives. There is more to accepting a culture than using a new tool. We have to blend different ways of thinking together. We conclude by discussing three different methods to achieve this.

Three Ways to Deploy DevOps in your?Organisation

If you foresee regular DevOps-based projects, consider running your entire organisation through an awareness program to redirect thinking. This will help non-participants understand why DevOps members may be ?off limits? when they are occupied with project work. Outsourcing tasks to contracting freelancers can mitigate this effect.

There are three implementation models associated with DevOps although these are not mutually exclusive.

? Use systems thinking. Adopt DevOps as company culture and apply it to every change regardless of whether the process is digital, or not

? Drive the process via increased understanding and feedback from key receivers. Allow this to auto-generate participative DevOps projects

? Adopt a continuous improvement culture. DevOps is not only for mega upgrades. Feedback between role players is paramount for success everywhere we go.

You can use the DevOps concept everywhere you go and whenever you need a bridge to better understanding of new ideas. We diminish DevOps when we restrict its usefulness to the vital role it plays in software development. The philosophy behind it belongs in every business.

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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Excel Spreadsheet Conversion to SQL Reports

Spreadsheets are flexible, inexpensive and easy to use. They are especially handy when it comes to beating report submission deadlines or making impromptu data computations.

Unfortunately, organisations heavy reliance on spreadsheets have made these User Developed Applications (UDA) into high-risk office tools. Simple spreadsheet errors like leaving out a negative sign or a cut-and-paste mistake have already caused million-dollar discrepancies. Also, when a fraudulent employee enters into the picture, the risks become unimaginable.
Think TransAlta’s spreadsheet cut-and-paste glitch (the company later called this a ‘simple clerical error’) which caused the energy firm a whopping $24 million loss or Fidelity’s overstatement of its earnings owing to the omission of the minus sign on the spreadsheet of a $1.3 billion net capital loss.

Denizon can convert your Excel Spreadsheets to a web based SQL Server Reporting Services (SSRS). It does not import Excel data, rather it allows the creation and deployment of reports in a more efficient manner by querying the data.

So what is the problem with Spreadsheets?

Plagued with risk issues and vulnerable to fraud
Lacking in control features especially when copied, edited and emailed between many users
A burden to regulation compliance e.g. SOX (Sarbanes-Oxley)

Moreover:

Accidental copy-paste/Omission of a negative sign/Erroneous range selection
Incorrect data input or unintentional deletion of a character, cell, range, column, or row
Possibility of the user working on the wrong version
Prone to inconsistent company-wide reporting
Often ‘defenceless’ against unauthorised access

See Top 10 Disadvantages of Spreadsheets

What makes SQL Server Reporting Services better than Spreadsheets?

Free from spreadsheet risks & equipped with built-in controls that substantially reduce risks to data
Less prone to fraud
More suitable for regulatory compliance e.g. SOX
Designed for an agile business environment

Automatic consolidation eliminates errors and wasted time caused by tedious copy-pasting of data and linking of cells
Better collaboration capabilities allows team members to bring their heads together for planning, budgeting, and reporting even while on the go
Mobility support enables users to input data or retrieve information through their wireless mobile device

Superior sharing features ensures that everyone is exactly on the same page and viewing real-time information
Dashboards provide insightful information at-a-glance through KPIs, graphs, and various metrics
Drill-downs enable users to investigate unusual figures and gain a better understanding of the details that contribute to the big picture
Easy to learn interfaces allow your organisation to cope with fast personnel turnaround or Mergers & Acquisitions

Don’t know how to shift from Spreadsheets to SQL Server Reporting Services?

We’ve got the knowledge and expertise to assist you in:

Making a smooth and cost-efficient transition from risky spreadsheets to reliable reports
Designing and implementing SOX-compliant report-generating methods and procedures
Putting exposure to high-risk reporting methods a thing of the past