by Tyler Bodys | Dec 15, 2021 | Gold Standard, Learn, News
Engaging Data Explains :
Creating The Gold Standards in Data –
Part II : Assessing the Gold
In this second part of our four-part series on gold standards in data, we’re going to examine the importance of instilling a review process.
Reviewing is never the most exciting nor relished procedure! It often feels like an unnecessary grind that slows down your whole operation. But it’s actually a critical part of any good business, enabling you to identify major faults before they become ingrained.
Reviewing Processes
We’ve already seen in the first part of our gold standards blog that the cake shop reviewed their existing processes before making a decision to change their order form. Often it’s only from self-assessing in this way that you can uncover new ways of working that enhance your productivity and efficiency.
It’s also important to emphasise that this needs to happen across the business. It’s normal to have a review as part of project governance for new projects, but it’s always worthwhile to reassess existing projects as well. They may be ‘good enough’, but they also might not be reaching the gold standard.
So in our cake shop scenario, how will the business assess the standard of the cakes being produced? Well, when the business reviewed the kitchen they found that each cook bakes one order, while also being responsible for checking their own cakes before they move to the decoration stage. This all seemed fine, but then the retailer received a few complaints about burnt edges and sub-par ingredients. Consequently, the cake shop reflected that its existing process of ‘marking your own homework’ was not sufficiently robust to identify problems.
In order to address this issue, several ways of reviewing the production of cakes were decided upon:
- A simple visual inspection – does the cake look uncooked or overcooked?
- A thorough test, such as breaking the centre of the cake to see if it is cooked.
- Pressing the centre of the cake to see if it springs back.
- Hiring Paul Hollywood as a tester!
All of these checks are designed to see if the cake has been cooked satisfactorily. The shop decided to opt for all options, with the exception of hiring Paul Hollywood! Instead, each baker will review one another’s baking, with the hope that the business will grow to support a head baker who will review all cakes.
Just as the cake shop reviewed its processes to put a more stringent review structure in place, the same can also be implemented in a data-driven environment. The following questions are examples of some that you can ask yourself as part of this process:
- Does the team need training?
- Do you need to recruit new people with different skill sets?
- Do the products need to change?
- Is the supply line quick enough?
- Would more people or different processes help with efficiency?
- Is the product still worth the effort that is invested in producing it?
Producing Gold
Once you’ve baked some quality cakes, you then need to take steps to market the product. It’s not enough to just produce the cakes and leave your customers to eat them if you want to maximise your marketing efforts. Building advocacy and influence via your customers is a great way of marketing your cakes to the right people. Word-of-mouth feedback from advocates is trusted by other potential customers, and is therefore far more effective than other forms of marketing.
However, there are two sides to the coin here. Negative feedback can be dangerous if it’s not managed effectively. Negative comments about the burnt edges of cakes will spread like wildfire to existing and prospective customers. But there are ways of recovering from this. Making courtesy calls to customers can provide you valuable insight into the process of ordering and consumption.
Getting the right team in place, tailoring products for your target market, and taking feedback onboard in an active process are all important facets of contemporary marketing.
What are the Considerations?
Gold standards always begin with what you are looking to deliver and who this will benefit. Gold standards should be designed to support outcomes, having considered both the internal and external factors that will influence design. Creating steps in the process to continually challenge the functionality of the end product and ensure that standards are still relevant to the end user should therefore be considered essential.
Sponsors and influencers can also play an extremely important role. Both can become prime advocates of your product, with the added benefit with sponsors that they pay you to advertise your goods or service!
Internal Considerations –
Data
Data can be compared to ingredients within a cake. Naturally, good quality ingredients are critical to producing the best cake possible. The same applies to data. As we mentioned in part one, if you put rubbish data into your systems, you can expect rubbish outcomes!
At some point, the cake shop company realised that the bakers are not periodically reviewing the ingredients within their cupboards. To address this, the manager inspects everything that they have on hand, ensuring that any poor quality ingredients are replaced, and that anything out of data is thrown away. Labelling is updated, while processes are put in place to ensure that there is no repetition of these mistakes.
The key point here is that while complaints were registered about burnt edges, it may have been the ingredients that contributed to the final product that were the problem. Going forward, the team at the bakery put in place a series of key questions that would inform their processes in future baking:
- Do we have enough data to make the size of cake required?
- Are we getting our ingredients from the right suppliers?
- Does this product contain nuts?
- Have I mixed sugar up with salt?
- The milk smells as if it’s on the turn, should I use it?
- Do we store the ingredients in the right place, in the correct containers?
Resources and Teams
When baking your cake, you can select from many different types of bakers or specialist chefs to assist with the process. Or you may decide that you wish to train yourself, or an existing employee, so that they can handle the most challenging baking tasks.
In some cases, if the cake shop utilises industrial equipment, people who have been trained to use this equipment can be deployed, as opposed to bakers or specialist cake makers. Having the right team with the right skills, and/or the aptitude to learn them, can be critical to successfully achieving gold standards. Instilling this in your team culturally is critically important in providing direction to your whole operation.
Achieving this can be as simple as asking yourself the following questions:
- Is the team right to build the end product? If not, what needs to change?
- Is the team open to changing or evolving in order to improve the product or efficiency?
- Do we have the right skills? If not, do we need to second or buy them in?
Company Culture
Finally, failing to understand the company culture will lead to failure. Gold standards must fit into the existing culture, or the direction the company is moving towards.
Understanding how your customers think, managing their expectations and developing a standard to consistently perform to those expectations is simple to conceive. However, the human element of this could result in you developing hundreds of different gold standards for multiple different customers.
Important questions to ask yourself here:
- Are the customers knowledgeable about your products? If not, can you educate them?
- Do you share your practice? Would it help your customers to know what you do and how you do it?
- Are there any expectations that you can manage?
- Are they any difficult expectations you have to work towards?
Implementing a gold standard for data may seem like an all-encompassing and intimidating goal. But it instead should be seen as a granular process. Breaking down the ingredients and individual components that collectively create gold standards is the best way to achieve this aim.
by Tyler Bodys | Dec 7, 2021 | Gold Standard, News, Uncategorized
Engaging Data Explains :
Creating The Gold Standards in Data –
Part I
Achieving an excellent level of data architecture is far from easy. But it is certainly possible if you implement certain guiding principles. Central to this is the implementation of a gold standard benchmark, which can then underpin any effective data architecture operation.
However, a gold standard is not something that comes naturally. In our experience, it requires diligent thought, effort and openness to change.
So in this four-part blog, we’re going to discuss some of the considerations related to this important goal for many organisations.
Resource Considerations
When we think about creating engaging analytics or data platforms to shape the growth of an organisation, the focus is often on the finding tool capable of developing the solution and not the surrounding aspects. But all of the ingredients that go into the mix are critically important.
Imagine you’re the owner of a cake shop providing bespoke cakes for your customers. Your products have to be good enough to keep customers coming back, but they also have to retail at an attractive price point. This means that there are immediately resource considerations.
You may choose to focus on providing a premium product, creating high-quality goods for a premium price. Alternatively, you may deliver a higher volume product, baking lots of different cakes on a larger scale, which are still of a good standard, but only suitable for a lower price point.
In order to make this decision, you need to understand the following:
- Product – what we are providing, and the value that we create.
- Place – the environment that makes it possible to create the necessary standard of products at a sustainable rate.
- People and Process – the team, the processes and the delivery environment (the bakery, the storage, the front of house, stock control, delivery, billing, etc.) that produce and maintain the consistent quality of product and experience.
If you can put all this together then you have the beginning of a gold standard in cake production. By the same token, in our field Engaging Data helps companies to review all of the data elements supporting such a setup, combining this with their aspirations to form bespoke gold standards. This enables our clients to achieve profitability and success.
Controlling The Input
Controlling input is a critical component of processing gold standard products. These vary, depending on what you are trying to produce, but examples include:
- Requirement gathering.
- Sources of data.
- Quality of data.
Controlling inputs and creating quality is critically important, as if you put terrible into a system then the ultimate outcome will be a terrible product! Thus, you need to understand the requirements of your customers. In the cake shop example, this would mean knowing what type of cakes your customers desire, the toppings needed, the date and time of delivery, any dietary requirements, and so on.
The good news is that controls can be quite straightforward. They can be something as simple as checking data. So in a cake shop, it’s vital to confirm the direct requirements of your customers, noting down all relevant information. This can make the vital difference between providing the ideal products for your customers, or producing something that seems excellent, but is rendered useless or sub-par by one important constituent. For example, you might produce a cake for someone with allergy needs that is simply inedible from their perspective.
Quality control can be achieved by creating a simple order form. For example, a cake shop might include:
- All vital information being distilled into yes/no questions – eg. “should cake contain nuts?”.
- Ensuring that all product types are selected, and that nothing out of the unusual is ordered.
- Product limitations being noted expressly on the form – acting as a reminder and preventing incorrect ordering.
Such a review process ensures that information is gathered correctly, and creates a collective responsibility for discerning the appropriate information. Important questions that you can ask yourself in a data environment to acquire such critical information include the following:
- How will the requirements come into the team?
- How do we need to record them?
- Do we have the right tools to collect the data?
- How will we handle data quality?
Output Consistency
The output is the result of your efforts, so you have an innate interest in ensuring that it’s the best possible product. In common with the input, it is important to understand what you can control to reduce risk, as this can have a big impact on your output.
Central to this process is building systems and controls that enable you to monitor outputs. This in turn makes it possible to assess if they need to be altered in any way. This means that in a cake shop, you may consider the impact that each of the following areas has on the supply chain of cakes:
- Production Team (bakers, shop front, etc.).
- Ensuring similar standards and experience.
- Providing the same customer experience.
- Ensuring knowledgeability about the production processes, industry and competitors.
Each aspect of the order and production process also needs to be assessed and standardised:
- Enjoyable and consistent ordering experience.
- Stock control to manage high-quality ingredients.
- Quality control of all products.
- Meeting all food hygiene regulations with a 5-star rating.
And then the tools of the trade should also be taken into consideration, as part of an ongoing auditing process. Central to this is ensuring that any equipment being used is within acceptable operational parameters, particularly not being overloaded or overstretched in any way.
So when you’re working in a data environment, or any working context, if you want to create gold standards then it’s important to continually monitor and challenge your processes. Ask yourself questions continually, such as:
- Do we have the right team in place?
- Do we understand what standard of products that we need to create?
- Do we have processes in place that enable us to produce quality products?
This is just the beginning of our insight into creating gold standards with data, so in our next blog we will move on to discuss several other important factors.
by Tyler Bodys | Oct 12, 2021 | News, WhereScape
Engaging Data Explains :
How Jenkins Takes Wherescape to Another Level
Data warehousing has grown in importance and popularity, as the global market for analytical systems continues to increase. The global market for data warehousing is expected to touch $30 billion by 2025, based on annual growth of around 12%. This led 76% of IT managers and executives to state that they are investing more in their analytics platforms when surveyed.
As more businesses use data warehouses, efficiency savings and improvements are expected going forward. Data automation is a concept that will benefit many companies, but it’s still important to choose the best solution.
Game-Changing Solution
That’s why using Jenkins to deploy Wherescape solutions is a game-changer. This integration tool used with Wherescape data warehouse automation software is rocket fuel for an already powerful package.
With Jenkins, it’s possible for developers to build and test software projects continuously, thanks to actions built into the tool. This makes it easier for developers to integrate changes to any project, increasing flexibility in working practices. This can be hugely advantageous in the fast-moving contemporary data climate.
And this is just the beginning of the integration offered by Jenkins. The tool also makes it possible to integrate with other apps and software solutions, by installing plugins for the external tool – examples of this include Git and Powershell. There are over 1,000 plugins available for Jenkins, meaning that the platform supports the building and testing of virtually any WhereScape project.
Low-Maintenance Software
Another key advantage of Jenkins is its low-maintenance nature. The tool requires very little attention once it has been installed. However, when updates are required, the software includes a built-in GUI tool, ensuring that this process is as painless as possible.
Yet while it offers an ideal platform, Jenkins also benefits from continual improvement, thanks to its open-source nature. There is already an enthusiastic community contributing to the tweaking and evolution of the software, and this is expected to grow further still in the years to come.
Jenkins is a shining example of continuous integration, delivery and deployment, sometimes referred to as CI/CD. This approach to data warehousing means that code changes that translate into real-world improvements can be made more frequently and reliably, due to the automation of deployment steps.
Easy Plug-Ins
The process for plugging Jenkins into Wherescape begins with downloading the Java SE Development Kit, at which point you will also need to add JAVA_HOME to your environment variables. That is the only technical part; you then simply download Jenkins using the installer and follow the on-screen instructions. Before you can use the software, it will be necessary to create an admin username and password. Then you’re ready to go!
Among the palette of useful features included in the software is a list view of open projects, which provides an instantaneous insight into the status of everything important that you’re dealing with. This is the sort of feature that has ensured that as well as being powerful and flexible, Jenkins has also earned kudos in the data warehousing world for being user-friendly.
Jenkins incorporates a user interface that is simple to pick up and navigate. There is a vast range of online tutorials available, while the active community that contributes to the tool is always on hand to offer assistance.
Configure and Customise
Another important aspect of Jenkins is the scope of configuration and customisation that it makes possible. Users can be managed by creating groups and roles, and this can all be handled elegantly via some straightforward menu prompts. Jobs can also be configured; for example, the tool enables them to be executed via timed intervals.
Every aspect of the Jenkins software has been cultivated to ensure maximum functionality with minimum effort, yet enabling users to customise and monitor everything extensively at all stages of the process. You can even set up automatic email notifications, ensuring that everyone involved with a data warehousing project is kept in the loop.
At a time when the amount of information that companies deal with is escalating rapidly, data warehousing is becoming increasingly important. It’s simply not possible to ignore big data any longer; this is tantamount to being left behind by your competitors. Jenkins & WhereScape is an elegant data warehousing solution that has helped a multitude of businesses get to grips with their data warehousing requirements, without investing a huge amount of effort in training, onboarding, or hiring experts.
Wherescape was already a market-leader in its field, but with the advent of CI/CD tools such as Jenkins, this top solution just became even more compelling.