Eliminate The Complexities Of Your IT System

There may have been times when you actually spent on the right IT system but didn’t have adequate expertise to instil the appropriate learning curve for your end users. Oftentimes, users find a new system too complicated and end up spending more hours familiarising with intricate processes than is economically acceptable.

There are also applications that are just too inherently sophisticated that, even after the period of familiarisation, a lot of time is still spent managing or even just using them. Therefore, at the end of each day, your administrators and users aren’t able to complete much business-related tasks.

The first scenario can be solved by providing adequate training and tech support. The second might require enhancements or, in extreme cases, an overhaul of the technology itself.

For instance, consider what happens right after the conclusion of a merger and acquisition (M&A). CIOs from both sides and their teams will have to work hard to bring disparate technologies together. The objective is to hide these complexities and allow customers, managers, suppliers and other stakeholders to get hold of relevant information with as little disruption as possible.

One solution would be to implement Data Warehousing, OLAP, and Business Intelligence (BI) technologies to handle extremely massive data and present them into usable information.

These are just some of the many scenarios where you’ll need our expertise to eliminate the complexities that can slow your operations down.

Here are some of the solutions and benefits we can offer when we start working with you:

  • Consolidated hardware, storage, applications, databases, and processes for easier and more efficient management at a fraction of the usual cost.
  • BI (Business Intelligence) technologies for improved quality of service and for your people, particularly your managers, to focus on making decisions and not just filtering out data.
  • Training, workshops, and discussions that provide a clear presentation of the inter-dependencies among applications, infrastructure, and the business processes they support.
  • Increased automation of various processes resulting in shorter administration time. This will free your administrators and allow them to shift their attention to innovative endeavours.

Find out how we can increase your efficiency even more:

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  • (+44)(0)20-7193-9751 – UK

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2015 ESOS Guidelines Chapter 2 – Deadlines and Status Changes

The ESOS process is deadline driven and meeting key dates is a non-negotiable. The penalties for not complying / providing false or misleading information are ?50,000 each. Simply not maintaining adequate records could cost you ?5,000. The carrot on the end of the stick is the financial benefits you stand to gain.

Qualifying for inclusion under the ESOS umbrella depends on the status of your company in terms of employee numbers, turnover and balance sheet on 31 December 2014. Regardless of whether you meet the 2014 threshold or not, you must reconsider your situation on 31 December 2018, 2022 and 2026.

Compliance Period Qualification Date Compliance Period Compliance Date
1 31 December 2014 From 17 July 2014* to 5 December 2015 5 December 2015
2 31 December 2018 From 6 December 2015 to 5 December 2019 5 December 2019
3 31 December 2022 From 6 December 2019 to 5 December 2023 5 December 2023
4 31 December 2026 From 6 December 2023 to 5 December 2027 5 December 2027

Notes:

1. The first compliance period begins on the date the regulations became effective

2. Energy audits from 6 December 2011 onward may go towards the first compliance report

Changes in Organisation Status

If your organisation status changes after a qualification date when you met compliance thresholds, you are still bound to complete your ESOS assessment for that compliance period. This is regardless of any change in size or structure. Your qualification status then remains in force until the next qualification date when you must reconsider it.

The Connection between Big Data and MDM

Master Data is information that is critical to your business. This could include contracts, proprietary information, intellectual capital and a whole lot more besides. Because this often reposes in a variety of different places, you need a master data management / MDM policy to control it. That way, you can link it all together in a single, secure, backed up file.

This Sounds Like Big Data

Not necessarily: big data refers to extremely large data sets that are best stored and analysed on a cloud using big technology, in order to uncover trends, patterns and associations often relating to human behaviour. Of course, if you run a niche restaurant your critical master data might be limited to a few recipes and the books you do not care to show your accountant.

The distinction is largely a question of size: think of your master data as the subset of big data that you already have your mind around. According to John Case of IBM this is probably already in a structured format and available to share. He goes on to present a cogent case for using this as a peg point around which to systematise the rest. This is because the average organisation already has master data recording customers? and prospects? behaviour.

Do I Still Need My Master Data?

Yes you do, because real people created it with the benefit of human insight. Retain it as a separate set. Then compare it with the results of big data processing for even richer insights. Two heads are better that one and that goes for data processing too.

Trends in CRM Big Data

Adding data via location-aware devices like smartphones and tablets is adding a new dimension to customer information. We now know where they were when they made the enquiry or punched in the information. Use this geo-location data to hone the way you interact with customers and service their accounts. Do not phone a customer who makes decisions at work when they are at home.

Does My Master Data Belong on a Cloud?

There are a number of ?ifs? to consider. How comfortable are you with your service provider. What would happen if someone hacked their server? There are many advantages to cloud technology. Denizon knows of solutions you can rely on, and makes sure its clients have contingency plans to protect them at all times.

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  • (+44)(0)20-7193-9751 – UK
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.

Find out more about our Quality Assurance services in the following pages:

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