SDLC

SDLC

What is System Development Life-cycle (SDLC)?

About SDLC

In systems engineering, information systems, and software engineering, the systems development lifecycle (SDLC), also referred to as the application development life-cycle, is a process for planning, creating, testing, and deploying an information system.

Why SDLC matters

Creating software applications is a high-risk activity. The approach adopted by development teams has a significant impact on the likelihood of project success. The principal outcomes of an effective software development lifecycle (SDLC) model are:

On-time delivery and achieving the optimal time to market

Speed to market is a major influence on RoI when software is delivering customer value. Delivering software development projects on-time and hopefully, before time, is a major win of effective software development approaches.

Usability and quality of ‘the product’

Like any other ‘product’, the quality of the outcome, how easy it is to use, how seamlessly it integrates, all these things impact on customer experience and stakeholder perceptions. You can build software ‘well’ and you can build it WELL.

Security and retention of intellectual property

There’s always a risk that intellectual property is lost during software development, or data security is compromised when software applications are used. When these things DON’T HAPPEN, it’s a big success for software development project leaders.

Efficiency of the development capability

Imagine the people, tools, and methods used to make software applications as an engine. The performance of the ‘engine’ and its ability to produce apps might appear effective and functional, but how does its performance compare to other ‘engines’? When considering the effectiveness of methods used to create applications, it’s easy to ignore the comparative performance of solutions when most would be happy enough to just get software delivered on-time and on-budget.

RoI and on-budget performance

For most project sponsors, delivering a system development on-budget -that creates a solution to a business problem that produces the scoped Return-on-Investment (RoI) – is, well, almost an aspirational dream.

The reason the bar is generally set so low is that history is littered with software development failures. Expectations are low!

A Harvard Business Review article article ‘Why Your IT Project May Be Riskier Than You Think’ published in November 2011 uncovered that, followed a survey of 1,471 IT projects with an average spend of $167m:

  • The average overrun was 27%
  • One in six of the projects studied was a black swan, with a cost overrun of 200%.
  • Almost 70% of black swan projects also overrun their schedules. This level of performance has changed little in the intervening period.

Summary of system development challenges that effective Software Development Lifecycles (SDLCs) can overcome

This level of performance has changed little in the intervening period. So, why are software development projects so inconsistent in their delivery? There are a number of factors:

A lack of clarity of what needs building

Specifying how an application should work – the process it must fulfill, the aspirational needs of stakeholders, user interface, the logic rules, data integration, and processing, etc. – is complex. Working with stakeholders unsure of what they need, and struggling to visualize how it will work for them, makes it even more difficult.

A lack of surety in outcomes and RoI

Calculating a Return-on-Investment It’s hard to envision ‘how well’ a software development will work, and the level of influence the application will have in improving the process.

The complexity of the software development project process

When multiple individuals are working on the same project using different software development tools, it’s difficult to keep everyone on the same page and keep developments on-track. Even when projects manage this, the consequence of using a blend of development tools means that a small change to one aspect of development can have a big knock-on effect. For example, changes to the database structure can demand changes to front-end forms, requests for reports can expose shortcomings in data designs, etc.

The challenges of manual coding and scripting

Anyone that’s ever tried their hand at coding or scripting knows that it’s a slow and detailed process. When code is created manually, there’s always the risk that errors will be made. Worse still, there is a risk of malware being introduced or intellectual property loss. These risks demand that applications are heavily tested before they are released. This costs a lot of time and money to do. Any changes result in a new wave of developments.

When ‘customers’ change their minds

It’s not uncommon for users and stakeholders of a software development to change their minds over what’s needed. When this happens, it can significantly delay or even de-rail developments.

Integration and data quality issues

Few applications function in isolation. Normally they need to take data from third-party systems or deposit it somewhere. The quality of data and the challenges of integration can take 30 to 45 percent of project-spend. When data is poor, the RoI of projects can reduce or be completely removed. Data quality can make software developments redundant.

Platform versioning issues

When an application is used by a community of users or customers and they request changes to be made over time, this can result in development teams to have to support more than one version of their software. Unless some pre-planning goes into how platform versioning is managed, it can result in a long tail of code management overheads.

Popular SDLC Methods

Over the years there have been several popular methods of developing software. These are articulated by the lifecycle a development takes from initial conception to completion, and beyond. We summarise these here.

Waterfall

As the term suggests, with waterfall development, series of software development, normally using different tools, are tasked with performing blocks of development that stream down from a project leader who lays out the plan. Often, developers will disappear for days until the next project review meeting. This approach used to be the most common, particularly when the need to use different tools (demanding the skills of different developers) means there was no other way.

Agile / Scrum

The existence of more versatile cloud software development environments has made it possible for agile software development to happen. The underpinned principle of agile development is that small teams, meeting regularly (in a scrum), agreeing what needs to be done, sprinting to get them produced in a day, then reviewing progress speeds up software development considerably. Unfortunately, this step forward in the software development approach does little to eradicate the project overheads and risks associated with manual coding.

Agile Codeless with Live Wireframing

The use of codeless requires developers to no longer see or use code. Integrated Development Environments (IDEs) make it possible for software developments to be managed by one person from start to end. The key design responsibility falls on someone with business analyst skills who has a deep appreciation of what needs to be created. This has led to the ability for software developments to happen in workshops, in near-real-time. At the term suggests, live wireframing focuses on rapidly developing a live wireframe ‘prototype’ of a solution and ‘failing fast.’ Through the use of an integrated development environment, it’s possible to de-risk projects by iterating designs at a very low cost.

About Encanvas

Encanvas is an enterprise software company that specializes in helping businesses to create above and beyond customer experiences.

From Low Code to Codeless

Better than code-lite and low-code, we created the first no-code (codeless) enterprise application platform to release creative minds from the torture of having to code or script applications.

Live Wireframe

Use Encanvas in your software development lifecycle to remove the barrier between IT and the business. Coding and scripting is the biggest reason why software development has been traditionally unpredictable, costly and unable to produce best-fit software results. Encanvas uniquely automates coding and scripting. Our live wireframing approach means that business analysts can create the apps you need in workshops, working across the desk with users and stakeholders.

AppFabric

When it comes to creating apps to create a data culture and orchestrate your business model, there’s no simpler way to install and operate your enterprise software platform than AppFabric. Every application you create on AppFabric adds yet more data to your single-version-of-the-truth data insights. That’s because, we’ve designed AppFabric to create awesome enterprise apps that use a common data management substrate, so you can architect and implement an enterprise master data management plan.

Customer Data Platform

Encanvas supplies a private-cloud Customer Data Platform that equips businesses with the means to harvest their customer and commercial data from all sources, cleanse and organize it, and provide tooling to leverage its fullest value in a secure, regulated way. We provide a retrofittable solution that bridges across existing data repositories and cleanses and organizes data to present a useful data source. Then it goes on to make data available 24×7 in a regulated way to authorized internal stakeholders and third parties to ensure adherence to data protection and FCA regulatory standards.

Encanvas Secure&Live

Encanvas Secure and Live (‘Secure&Live’) is a High-Productivity application Platform-as-a-Service. It’s an enterprise applications software platform that equips businesses with the tools they need to design, deploy applications at low cost. It achieves this by removing coding and scripting tasks and the overheads of programming applications. Unlike its rivals, Encanvas Secure&Live is completely codeless (not just Low-Code), so it removes the barriers between IT and the business. Today, you just need to know that it’s the fastest (and safest) way to design, deploy and operate enterprise applications.

Learn more by visiting www.encanvas.com.

The Author

Erica Tomlin is a senior consultant specializing in helping organizational leadership teams to grow by implementing enterprise software platforms that improve data visibility, process agility; and organizational learning – creating an enterprise that learns and adapts faster. She writes on subjects of change management, organizational design, rapid development applications software, and data science. She can be contacted via her LinkedIn profile.

Further reading

What is Customer Experience Management Software?

What is Customer Experience Management Software?

Decoupling Data 

Benefits for Digital Transformation

Written by Ian C. Tomlin | 12th January 2024

Learn about Customer Experience Management Software and why it’s suddenly become vogue to use it…

About

You could say that Customer Experience Management (CEM) happens when you continuously take stock of the customer experience and act on the learning lessons to improve it, whereas Customer Experience is the sum of experiences that people have during the whole relationship with a given product/service. In a world where only 4% of customers trust advertising, it’s worth improving the overall experience instead. But how do you know what to improve and how to do it? These tools can help.

Customer Experience Management Software is any software that contributes to the delivery of an above-and-beyond customer experience.

The five capabilities you should expect from a Customer Experience Management solution include the ability to:

Harvest customer experience and sentiment insights from all channels of communications you use with customers

Your insights should include your website interactions, social media conversations, customer surveys, face-to-face sales discussions, web-chat, events, search terms, transactions, and project details; anything that helps to build a complete view of the customer journey.

Analyze and interpret actionable insights (that you can do something about), and follow that with action

CEM empowers you and your employees to create (and sustain) customer delight.

Manage and govern customer data

You will want to create a trusted single view of data, and a repository that can maintain the currency and richness of data whilst providing systems administrators with a high level of governance.

Improve back-office process automation

This will allow you to tailor customer experiences and bring more transparency to customers so they can serve themselves and reduce your operating costs.

Internal processes can be honed by connecting to operations and processes, beginning to end – throughout the customer journey.

Establish an enterprise-wide commitment to an above-and-beyond customer experience.

Improving the customer experience encompasses every business function, not just those you might initially think of, like sales, marketing, and customer service. CEM crosses all departmental boundaries and positions, from e-commerce to marketing to billing.

Customer Experience Management

To deliver a true Customer Experience Management Software solution, it should include:

  1. Customer Experience Analysis – Tooling to capture, process and make sense of customer web interactions, conversations, and feedback.
  2. Customer Experience Delivery – Tooling to design, test and publish content.
  3. Customer Data Platform – Tooling to create a clean and useful repository of customer insights representing a complete single version of the truth and govern the use (and distribution) of customer data.
  4. Customer Data Integration – Tooling to manage

The CEM Market is Confusing to Navigate

Whilst many vendors claim to support the entire CEM journey, in practice, the greater focus of solutions of late has been on capturing web experience, sentiment, and social interaction analysis. Very few solutions combine these capabilities with Customer Data Platforms and Action Management systems to equip organizations to learn, apply and act.

Perform some rudimentary desktop research and it becomes obvious that not all software described as Customer Experience Management (CEM) Software covers the broad gamut of capabilities required to deliver a consistent, high-quality customer experience. The definition is so broad in fact that it can be unhelpful.

Leading software companies like Adobe, Hubspot, and Oracle only deliver parts of the complete toolkit that any company will need.

Rightly or wrongly, the sorts of software you can expect to see included under the banner of Customer Experience Management Software include:

  • Self-help center ‘customer ticketing’ software like Zendesk gives your customer the ability to raise and manage support tickets and serve themselves.
    Customer web visitor experience, sentiment and social interaction analysis platforms like Gemius, Medallia, Userzoom, SAS, ResponseTek, IBM Tealeaf,
  • Kana, Clarabridge help businesses learn how users interact with your mobile sites or apps. Interestingly, software applications like Clarabridge use Natural Language Processing to capture, structure and make sense of customer feedback and interactions.
  • Heat mapping software like ClickTale visualizes click trails on websites.
  • Content creation and publishing software like Adobe Experience Manager that also includes web analytics paid advertising management and the ability to perform A/B testing of digital content.
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