For an organization to be competitive in the current context, it needs to be sustainable and able to anticipate paradigm shifts. Innovation and the development of solutions to exceed customer expectations must be leveraged with technologies, software and information systems that allow process optimization.
The business model of companies is currently affected by technological progress and only companies that take advantage of these developments manage to stand out from the competition. But first, we are going to understand what an information system is and how it collaborates with the operations of an organization.
What are Information Systems?
Surely you came here wanting to know what an information system really is, but first we have to understand two key concepts that make it up: Systems and Information Technology.
A System is a set of elements that are related and work together pursuing a certain common objective. A system does not necessarily consist of technological elements. We could, for example, think of an organization as a system made up of people who fulfill different roles.
Information Technology refers to all the products and software developments that are used to collect, transform, store, process, protect and retrieve data to turn it into useful information for decision-making. For this, you need both hardware and software elements, telecommunications networks and databases.
By combining these concepts we can reach an understanding of the Information Systems of organizations. We are talking about the joint work of people, systems and information technologies, whose objective is to take advantage of data and information to optimize the planning, management and control of activities.
An organization may have advanced information technology, products, and software developments, but if system components, such as people, are not properly integrated, then it may fail. Proper integration is key! That is why at Huenei we offer support in the implementation of our software developments, to ensure that our clients can take full advantage of them. Correctly designed, developed and implemented information systems can help reduce risks and uncertainties in the decision-making process and the execution of business processes in various areas. Let’s see some examples…
Examples of Information Systems in an Organization
We’d like you to review some case studies of developments that we have carried out for some of our clients, so that you can see practical applications in different environments:
Content. What functionalities does a system offer the user?
Experience. How is the user interaction with the system?
Platform. What are the processes and infrastructure that the system needs to fulfill its functionality?
Let’s analyze these three components with the example of Amazon, considering the customer as the end user. The Amazon platform offers customers the ability to purchase products online. But other very useful functionalities are also offered, such as reviews, ratings, recommendations, search filters, among others. The experience includes both the interaction with the website, as well as the business processes with which the client is in contact (customer service, FAQs, payment gateway, etc.). Amazon focuses, from its platform, on offering an excellent experience so that the customer can find the ideal product, at the ideal time and easily. Regarding the platform, beyond the UX/UI design, the management of product and stock information, customer data and all those business processes with which the customer does not interact is key.
Amazon Website Screenshot
How Do We Design Information Systems for Our Clients?
The elements that make up an information system must be fully understood in the development of the software product when the objective is that the client can have a satisfactory implementation. That is why at Huenei we focus on three key areas when planning a software development: Organization, Management, Technological Infrastructure.
Organization. The structure of the client organization for which we are working is a fundamental input of any project. Understanding it allows us to understand priorities, roles of individuals, implicit needs of the system and areas or departments of the company that will be users of our development.
Management. After understanding the organization itself, we examine the management structure of the organization and how users will need to use it. This allows us to anticipate user interactions prior to development.
Technological Infrastructure. The technological infrastructure is made up of the hardware, software, databases and telecommunications networks necessary for the development of prototypes and final products. It is the technical instance of design, development and implementation that allows us to reach the final version of the developed product.
Once we understand the organizational structure and roles within a company, the management and usability needs, and the technological infrastructure necessary for the project, we can conceptualize the ideas and arrive at the perfect finished product for the identified needs. We invite you to learn about our step-by-step processes in our three Project modalities: Dedicated Teams, Staff Augmentation, and Turnkey Projects.
With programming becoming indispensable at most jobs nowadays, you may be wonderingwhere to put your efforts on your new path towards learning how to code, and with such aplethora of languages, making the right choice may be an intricate venture. That’s why we decided to tell you what’s the most important programming language in 2021.
In this article, we will teach you why Python —the language that is taking over every industryfrom arts and design to bioengineer and manufacturing— may be an acute choice for starters in2021.
Image by Chris Ried on Unsplash
What Is Python and What Can You Do With it
The numbers talk by themselves: according to the TIOBE index, which measures the popularityof programming languages using search engines and ratings, Python is about to become themost popular language before C and Java for the first time in 20 years of the index.
Python was released in 1991 by Guido van Rossum and since then it hasn’t stopped evolving,being now a language useful for creating web applications, connecting database systems,modifying files, performing math, handling big data, and even prototyping.
For freely installing Python and running code on Mac, Linux, or Windows it doesn’t take morethan 10 minutes. The newest version of the language is called Python 3 and it has a simplersyntax than the previous version, while it also serves better the development ofmachine-learning, AI and data science works.
Most people say coding in Python is similar to talking in plain English, which is why it may be sointuitive in the first place. At the same time, it is an object-oriented programming language,which means you can represent the real world using structures that have behaviors.
Object-oriented programming is simple because programmers can link states, which representthe characteristics of objects, with behaviors and their respective objects that belong to classes.Here’s an example:
Python libraries, which are reusable modules of code, are another great competitive advantagethat makes this language outperform. There are more than 137,000 libraries that can preventyou from writing code from scratch, most of which are open source.
A notable aspect of libraries is that they can help you achieve tasks that you would otherwisehave to carry out using a different language. For instance, Pandas are very useful for modelingand data analysis, which are more commonly performed using more specific languages such asR.
How to Learn Python: The Best Courses, Apps, and Books
Contrary to the popular belief that programming is only useful for tech-related jobs, Python maybe the next skill you need to ramp up your projects, even if your field of work is not IT-related.
Python code is everywhere: it is present in your life every time Amazon, Netflix, Youtube, orSpotify recommend you something based on your preferences, and even when you talk to a botor scroll through Instagram or Snapchat. At Huenei, we make all kind of software development with this awesome language.
At the same time, it can serve you for professional purposes such as data analysis, datavisualization, machine learning, mining data, and more personal aspects such as boosting yourpersonal finances while staying on top of bitcoin prices. So here’s a list of the most usefulresources available out there for learning this language:
Freecodecamp.org is one of the best resources on the internet for learning how to code for free.This web platform founded by a non-profit organization offers an abundant library of coursesthat more than 350,000 students access every month.
The best aspect of this app for learning Python is that it allows you to communicate with otherstudents on each lesson, which makes it not only a learning platform but also a social network,so you will never feel alone while solving a bug.
Sololearn uses quizzes as an evaluation method, with each session containing a glossary ofterms. It also offers challenges and competitions that give you points that you can later show off.
This course can take you from a beginner to an expert in developing programs for data analysisusing Python 3. And as the title states, it is friendly for those who have never had an approachto this language. You can audit the course for free or opt for a paid certificate and assessment.
The contents include fundamental concepts explained in the textbook “Python for Everybody”and it teaches how to deal with data structures, access web data, and using databases. In theend, you are eligible for a certificate of completion after having completed the capstone projectin the last module.
Even though learning a programming language in just one day seems very unrealistic, if you areup for a practical approach, this book is right for you, since it will make you put your hands towork from the very beginning.
After teaching you how to install some necessary software it will teach you basic concepts suchas variables, operators, integers, floats, and strings at the same time it gives you examples.
The revolution of Serverless Computing is here to stay, and this is because this new technology enables application development without having to go through the management and administration of a server. Under this model, applications can be grouped and loaded onto a platform and then run and scaled as demand for them increases.
Although “Serverless Computing” does not suppress the use of servers when executing a code, it does eliminate all activities related to its maintenance and updating. This creates an efficient model where developers manage to disassociate themselves from those routine tasks to focus on more productive activities, thus increasing the company’s operational efficiency.
What is Function as a Service (FaaS)?
Function as a Service (FaaS) is a model that allows for the execution of several computing actions based on events, and thanks to it, developers can manage applications, “bypassing” the need for servers during their management.
In the world of computing, functions are in charge of managing the states of a server, therefore the FaaS model develops a new logic that is later executed in other containers located in the cloud.
In general terms, FaaS allows us to design applications in a new architecture where the server works in the background and the execution of codes based on events becomes the fundamental pillar of the model. This means that the underlying processes that normally occur on a server do not run continuously, but are available when needed.
This becomes a clear advantage of the FaaS model, allowing developers to scale dynamically, that is, implement application automation so that it decreases or increases based on actual demand.
In addition to the above, FaaS increases the efficiency and profitability of operations, since providers will not bill the company when no activity is detected.
All this makes the FaaS model an innovative element within the recent field of serverless architecture by minimizing investment in infrastructure, and leveraging the competitive advantages of Cloud Computing.
The evolution of Serverless Computing
With the advent of the cloud in the first decade of the 2000s, people had the opportunity to store and transfer data online, which eliminated the need for hard drives.
This undoubtedly created important advantages for users, who had the opportunity to immediately access their information online from any device.
However, developers were missing an element in this equation, i.e., the place where applications or software were implemented. In this sense, a “Virtual Machine” model was implemented which allowed to point to a “Simulated Server”, creating significant flexibility in updates and migrations, and with this, the problems associated with hardware variations were left behind.
Despite this progress, “virtual machines” had some limitations in terms of operation, and this led to the creation of containers, a new technology that allowed administrators to section the operating system in order to keep several applications active simultaneously, without one interfering with the other.
Considering this reality, we can see that all these technologies maintain the paradigm of “where an application runs” as their fundamental structure. Under this scenario, Serverless Computing emerged, promising a new level of abstraction focused on the code itself that diminished the importance of the place where code was stored.
With the advent of Amazon’s AWS Lambda service at the end of 2014, a milestone in serverless architecture was achieved, as developers could finally focus their efforts on creating software without having to worry about hardware, OS maintenance, the location of the application, as well as its level of scalability.
Use Cases for Serverless Computing
Below are some successful cases of companies that applied serverless technology, or Serverless Computing, within their organizations:
Case 1. Major League Baseball Advanced Media (MLBAM)
Major League Baseball has used serverless computing technology to provide all its fans with real-time baseball game data through its “Statcast” product. This acquisition has increased MLBAM’s processing speed, as well as the ability to handle more data.
Case 2. T-Mobile US
T-Mobile US is a mobile phone company with a strong presence in the North American market. The company decided to bet on serverless technology, achieving significant benefits in terms of resource optimization, scaling simplicity, and the reduction of computer patches, thus increasing its real capacity to respond in a much more efficient way to all its customers.
Case 3. Autodesk
Autodesk is a company that develops software for the architecture, construction and engineering industries. Recently this organization decided to apply serverless technology in order to manage its development, as well as the time-to-market of all its products. In keeping with this policy, Autodesk created the “Tailor” application as an efficient response for managing its clients’ accounts.
Case 4. iRobot
iRobot is a company that designs and manufactures robotic devices intended for use within the home and in industrial settings. Since the organization decided to get involved with Serverless Computing technology, the data processing capacity of its robots has increased substantially, also allowing the capture of data streams in real time. The new serverless architecture allows them to focus on their customers and not on operations.
Case 5. Netflix
Netflix has become one of the world’s largest online media on-demand content providers. In line with its innovative spirit, this company has decided to use Serverless Computing to generate an architecture that helps optimize the encoding processes of its audiovisual files, as well as the monitoring of its resources.
When we look at the evolution of Serverless Computing and how it has managed to significantly impact computing processes in general, we understand that this new system will quickly become the next step in the world of cloud computing, fostering a promising future focused on adopting a multimodal operational approach.
Innovation in the world of computing occurs at a startling pace in each and every area, generating important progress in the processes related to “Serverless Computing”, also known as “Serverless Architecture”.
In this context, an increasing number of companies are turning to the “Cloud” as a way to optimize the creation and execution of applications and processes, minimizing the use of servers. This is where Serverless Computing comes in as a key element for the proper development of internal software architecture.
Although Serverless Computing reduces the use of a server, the server does not disappear in its entirety; it is simply optimized and reassigned by the cloud provider, who will ultimately be responsible for all the routine activities associated with the servers’ maintenance.
In the beginning, creating a web application required the use of hardware that would allow the execution of a server, sometimes resulting in a complicated and expensive process. Later on, when the cloud came along, companies and developers had the possibility to rent spaces on remote servers to carry out their activities.
However, this process was not entirely efficient either, since companies ended up buying more space than necessary in order to ensure the system would remain stable in case of very high demand peaks, thus incurring in additional expenses. This is why developers began to see the need for a platform that would allow them to pay only for the space used.
In this sense, the story of Serverless Computing is recent, the first reports of this technology being found in an article by the specialist in decentralized applications and serverless development, Ken Fromm, published in October 2012, titled “Why the Future of Software and Apps is Serverless.”
By November 2014, the Amazon company launched its “AWS Lambda” service, which allows developers to execute code and automatically organize resources without the need to manage the underlying infrastructure during.
A year later, in July 2015, Amazon created “API Gateway”, a service for the creation and maintenance of API REST, HTTP and WebSocket, where developers can generate Application Programming Interfaces that access Amazon or other Web Services, as well as data stored in the cloud. Finally, in October 2015, “Serverless Framework” was born as the first framework developed for creating applications on AWS Lambda.
Serverless architecture overview
Serverless Computing, or serverless architecture, does not imply the total absence of a server as such; what this system actually seeks is for the cloud provider to adequately and efficiently manage all processes related to the server.
In this sense, one of the outstanding features of Serverless Computing is the ability to let go of the traditional way of managing servers in a company, replacing it with automated management by the cloud provider.
This means that the cloud provider is responsible for managing all organizational resources during the execution of a particular activity, leaving behind the old administrative action carried out by users within the organization.
Under this new scheme, a company’s IT activities are billed according to the need for resources for each particular task, thus creating a clear contrast with the old model where often unused spaces were hired: this allows for major capital savings, since the company only pays for what is actually used.
In addition to the above, the Serverless Computing model eliminates the need to make server reservations. As a result, developers no longer need to access the server through an Application Programming Interface (API) to add resources, since the cloud provider is now responsible for doing this automatically.
Serverless Computing has a number of advantages when compared to the traditional model, including the following:
It significantly reduces developer operating costs by allowing developers to pay only for used space.
Higher productivity for companies, with the possibility to assign tasks related to the administration of servers to third parties, and thus focus directly on application development.
Serverless Computing platforms reduce the time associated with marketing, since developers will have the option of gradually modifying or adding code.
Providers of this new service can manage everything related to code scaling under real demand.
Ability to focus on unifying software development and its operational capacities, that is, adopting “DevOps” system engineering practices.
Optimized application development incorporating essential components of the BaaS model offered by other providers.
Regarding the disadvantages or downsides of Serverless Computing, the following may be mentioned:
Significant restriction on the interactive capacity of cloud providers, directly affecting system customization and flexibility.
Dependence on service providers.
It could cause some problems associated with the lack of control of the company’s own servers.
Access to virtual machines and operating systems is limited.
Implementing a serverless architecture implies an economic effort, since it typically requires updating the systems to meet the provider’s demands.
What role does the cloud provider play in Serverless Computing?
Cloud providers play a fundamental role in serverless architecture, since they are in charge of running the servers and allocating resources for developers at the same time.
In this sense, cloud providers offer two main methods within the Serverless Computing scheme, called “Function as a Services” (FaaS) and “Backend as a Services” (BaaS).
The first method, “Function as a Services” (FaaS), allows developers to apply micro services when writing and updating different codes to be implemented in the cloud, thereby simplifying the incorporation of data, reducing execution times, as well as ensuring a timely management of the supplier.
On the other hand, the “Backend as a Services” (BaaS) method is based on the provision of services to third parties based on the Application Programming Interface (API) established by the provider, such as databases, authentication services, and encryption processes.
Finally, it is worth noting that large cloud providers work under the “Function as a Services” (FaaS) mode, such as AWS Lambda from Amazon, Azure Functions from Microsoft, IBM Cloud Functions and Google Cloud.
Serverless Computing has certainly had a significant impact in the world of computing, allowing developers to focus on creating software without having to worry about the application management or production code, since the cloud provider is in charge of efficiently managing the resources necessary for this important activity.
Would you like to learn more about this subject? Please visit our IT Continuity page to learn more about the services we offer related to infrastructure and custom Software Development.
When analyzing the use that is being given to Blockchain in the corporate sphere, it is possible to detect some common and recurring usage patterns:
Banking and Finance
DeFi includes digital assets, protocols, smart contracts, and Distributed Applications (dApps). It is the original use case and it involves everything related to cryptocurrencies and the financial world in general. We can mention Ripple, a global network of electronic payments, with the support of institutions such as Santander, Itaú, American Express, among others. Another example is Santander One Pay FX, a Blockchain network to streamline international transfers.
After DeFi, it is the most popular use case. Blockchain allows the complete traceability of any good, from the producer to the final consumer, be it raw materials, food or medicine, in the case of Pharmacovigilance. IoT (Internet-of-Things) devices are also commonly used for automated registration in different stages of a workflow. There are already numerous success stories in several industries, such as food (Walmart and later IBM Food Trust is the most emblematic cases that we will analyze), pharmaceuticals (Novartis), automotive (Ford, BMW, Tesla), among others.
Leveraging immutability, one of the distinctive characteristics of Blockchain, stored transactions cannot be modified at a later stage, which allows a complete audit of critical information. This is used in Fraud Prevention, Claims Management, Insurance (BBVA), Health (EHR, Medical Records Management with projects such as MedicalChain & MedRec) and Pharmacovigilance (for example, the Pharmaledger project).
Currently, many governments around the world are conducting research on how to take advantage of the benefits of Blockchain in Citizen Identity systems, voting, budgets, and public tenders to increase the efficiency and transparency of the State. Latin America strives not to be left behind, and many developments are already underway. Argentina has several projects on the Argentine Federal Blockchain network (BFA), such as sessions of Deputies in Congress, Central Bank Complaints Registry, Citizen Files in the City of Buenos Aires, among others. Brazil, Peru, and Uruguay are also making strides. Globally, the United Arab Emirates, especially Dubai, plans to become a fully Blockchain-governed, paperless city by 2021 through the Smart Dubai project.
Many institutions use Blockchain for the certification and validation of all types of workforce, personal and educational records (Citizen Files in Buenos Aires).
In a new human-centered model, people take control of their information, centralize it to decide who can access their data. For example, patients own their complete Medical Records and can give access to them to the professional who needs them (EHR MedicalChain & MedRec), citizens can share their credentials (Sovereign Digital Identity projects in Argentina, Data Sharing Toolkit in UAE, etc.)
Blockchain is used for the management of digital assets, in the exchange of all kinds of goods between individuals or entities, such as tickets to shows (UEFA & Ticketmaster), loyalty program points (American Express), real estate (UK Land Registry in England), etc.
This technology is used to create records with date, time and authorship, to optimize the management of Intellectual Property. Used by Kodak with Photo Tracking and SpotifyMediachain to accurately attribute songs to creators.
Use Case: Food Supply Chain
Among the many use cases of Blockchain, its application in a supply chain is one of the most emblematic, and developments can be seen in all industries.
In a food supply chain, multiple actors have involved: farmers, ranchers, suppliers, cooperatives, packers, transporters, exporters, importers, wholesalers, retailers, and, lastly, the final consumer. Health safety is one of the biggest concerns in the food industry. Like the pharmaceutical industry, the food sector faces increased regulatory pressure from government agencies.
Walmart is a pioneer in this field, having tried several times to create a system that allows for transparency and complete traceability in the food system, which was finally accomplished in 2016. Blockchain, with its decentralized and shared ledger, seemed tailor-made for the Company’s needs. Walmart began working with its technology partner IBM on a food traceability system based on Hyperledger Fabric. For the Chinese pork industry, it allowed uploading certificates of authenticity, which gives more confidence to a system where certificates used to be a serious problem. For mangoes in the United States, the time needed to trace their origin went from 7 days… to 2 seconds!
The newly developed system allows users to know the exact origin of each item (to control disease outbreaks) in seconds, discarding only products from the affected farms. For example, it allows customers to scan a jar of baby food to see where it was made, tracing all the ingredients back to the farms.
As a result, the IBM Food Trust was launched, involving multiple companies such as Nestlé and Unilever. This platform allows access to the following information in real-time:
Inventory at each location.
The freshness of each product.
Average time on the shelf.
Blockchain allows a product to be traced through the different industrial, logistical, and administrative operations, from the beginning of the process to the end, and vice versa. In this way, a secure and distributed record can be consolidated with the history of every actor in the chain, their exchanges during the production and distribution processes of the product, managing information in a reliable and tamper-proof manner. As automatic transactions have no intermediaries (such as banks), they allow for faster settlements under conditions set forth in smart contracts.
IoT and Blockchain combined offer great benefits. Sensors can capture a variety of data in manufacturing facilities or transportation, transmitting all the information to a centralized repository in real-time. In turn, Managers can gain a multitude of new insights into material usage, transport conditions, etc., and apply them in planning/optimization efforts. Producers can use IoT to register the entire growth process of the product (food, pesticides, humidity, storage, location). Carriers can automatically ensure that products are moved under the right conditions of temperature, humidity, etc., thus achieving better visibility into overall logistics.
Throughout this 3-articles series, we learned about Blockchain technology and its application in the business environment. We were able to understand its basic operation, the most prominent platforms and its current application in many industries.
How can Huenei help your business with Blockchain?
Consultancy: We help you choose the technology that best suits your needs.
Architecture: Definition, deployment, and start-up.
Development: Smart contracts and complete systems based on Blockchain.
We work with you from the planning and definition of requirements to the start-up of the final project.
The two main problems that software development projects usually face are delays in delivery dates and exceeding the proposed budget; both of these issues arise when teams fail to adequately calculate the necessary resources. This results not only in a commercial failure but also in a drop in companies’ satisfaction rates.
Therefore, it is vital that companies know how to effectively conduct a digital product discovery before moving forward in laying the foundation for a project. This is why the discovery phase is crucial to mitigate the aforementioned risks, regardless of whether the project is part of a large-scale business system or if it is a turnkey development.
Both outsourcing companies and clients need to give the necessary importance to this stage, as it will improve the quality of the project and the expected final result.
What is the Discovery process?
It is the process of gathering and analyzing information about a project, its target market, audience, among other factors. It is intended to ensure a complete and deep understanding of the goals, scope, and limitations in order to help understand end-users along with their needs and requirements.
Additionally, it defines a set time to collect this information, thus allowing all members of the development team, as well as the client, to meet and create a shared understanding of the project goals. However, this goes beyond a mere kick-off meeting. This collaborative vision is about all teams being able to guide, from their point of view, more values and characteristics to ensure the execution of the project, in turn providing commercial value.
Who is involved in the Discovery phase in Software development?
Ideally, as many team members as possible should take part, from programmers and testers to functional analysts, from a more technical and specialized point of view.
On the other hand, team members from the client must also be part of it, since they have a greater knowledge of both the industry and their own consumers, offering valuable information that can increase user satisfaction rates. A list of teams and representatives involved in a Product Discovery phase would look like this:
Product Owner (PO).
Quality Assurance Testers.
Representative End Users.
In theory, these should be the members involved in this phase.
In addition to this, UX (user experience) specialists can be extremely helpful in the Discovery process, as many functional limitations can be informed by user interface (UI) requirements.
Better integration of the design department with the Discovery processes in Software Development can be achieved through a design thinking workshop, where stakeholders meet to comprehensively discuss the project’s motivations, requirements, and vision.
Product Discovery Process
In order to design a Product Discovery process, the initial needs must be known. At least one initial meeting should be held with the development team so that the project can be presented to everyone, and any specific questions about the client and the project may be raised in a collaborative environment.
Keep in mind that this process can last from a few days to a few weeks, so there is no list of steps to design the ideal process; this makes each application, idea, and team unique, and the process must be able to adapt to their needs at the time.
However, Huenei IT Services focuses on developing the best products for your company, this is why we’ve decided to share the following steps that could help you create your Software Discovery process:
1. Discover the purpose of software development
This first activity focuses on the “why”.
As we begin the digital product development phase, we ask ourselves what the ultimate goal of the project is. We can’t build a great product if we don’t know why we are building it in the first place. By understanding everyone’s expectations, we discover the motivations and context required to make focused decisions during the project execution.
2. Get an overview of the business
The next step is to analyze the business model of the application and understand the company behind it.
We see this as a critical time to understand how the idea of this application came about, what the company is like, and how this product will help the company grow.
3. Define the metrics
The main question in this third step is how to measure the success of the product after development.
When setting a timeline, the idea is to identify milestones and criteria to measure the product’s success.
Goal setting methodologies are great options to deepen the discussion.
4. Set the restrictions
At this stage, the conversation becomes more realistic.
Now we all know that resources are not unlimited, and that creates a scenario where each project has its limitations, such as a restricted investment or a close launch date.
That is why we believe that it is important to know which restrictions are the most important and which allow for more flexibility.
5. Identify the risks
Moving on, our goal here is to identify the risks worth worrying about, so that we can focus on those that are not out of our reach.
Just as important as listing the things that could go wrong with the project is recognizing that we can handle some risks, but not all; what these risks are and which of them could mean a leak point of resources, including time.
6. Understand the users’ needs
The questions in this step are related to the end-users of the application: Who are they? By discussing our ideal user and what this individual would be like, we can list how we imagine they would interact with the software.
This process is a great instance for the team to come up with a user interface (UI) that is suitable for those users.
7. Define work agreements and processes
Now is the time to define how the flow of the software development process will work.
At this stage, the team can agree on a work methodology, schedule checkpoints and other meetings, define responsibilities and work arrangements to make sure everything is clean and ready to go.
8. Finally, build a story map
The story mapping technique presented by Jeff Patton is a clear way to see the entire user journey that the application provides.
In fact, knowing about Discovery in Software Development will allow you to establish a necessary approach for efficient and timely development; being clear about this from the beginning means dealing with the abundant uncertainty at the beginning of any project, that is why communication, research, and analysis are key factors in solidifying the goal and defining the direction of the product development process, as well as discovering its obstacles and risks.
A properly planned and implemented Discovery is vital not only for the client but also for the development company in charge of the work. This not only allows teams to meet the set times and resources but also identify end-users’ needs and build a product/service that best meets their demands.
Please visit our Software Development expertise section for more information about our development practices.
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