Republicii Street, No. 9, TM, Romania +40-256-201279
Leadership

We like to innovate. LASTING Software is the consultancy & software development company with a “no excuses” mindset. We have a clear focus on delivering the right product from an end-user’s perspective. Our specialists always put themselves in the clients’ shoes and deliver solutions that fit actual needs.

We…
develop the graphics engines & tools which allow you to control your car and view your world.

create medical systems that monitor and protect your families.

enable 100’s of smart factories around the world to manage their Materials Planning.

realize the algorithms and analytics processing Big Data, which underpin 1000’s of FDA/FMA clinical trials.

build news apps which allow you to report ‘Real news’ in ‘Real time’ with data driven journalism.

transform statistics and analytics into insights on your KPI’s in cloud based AI decision systems.

 

Development for the future – what is different?

Big Data starts with quantity, but it is not all about it. Quality also matters – as the professionals around the globe have already determined. Quality data leads to quality results. But the companies still need the best algorithms to sift through it, process it and deliver the most valuable insights.

Still, being able to access a larger quantity of data makes the big players in any field keep up their advanced pace. Trends can be computed into mega-trends. It takes a quite powerful business stance to be able to see things at this kind of level. That is why we constantly follow topics that concern our activity. Keeping updated with what other top level professionals do or think is a good way of taking advantage of Big Data insights, by proxy. Combined with our own experience and insights, this allows for trend anticipation.

On this line of thought, this week we noticed an article about the way organizations innovate. It’s about the manufacturing space, about the way the products’ UI needs to change. The delivered solutions have to meet the challenges of tomorrow.

Now, one may argue that software engineering is in a different league than manufacturing – and they would be right, of course.

However, when trying to innovate, understanding how people work on a scientific level is important in any line of work. For all successful innovators, the mindset is common. It acts like a unifying field that brings together all those who know or learn how to design and implement for the future.

 

To innovate, one has to start by being accurate


Whenever aiming to create completely different/improved elements, one needs to know the premises extremely well. Only by being aware of what has already been done (and how), you can come with that great extra element. That is why we fully assess our customers’ operational needs before providing possible solutions.

 

Remember that here, at LASTING Software:

  • The types of collaboration available include extension of the team, feature teams, or entirely independent product teams;
  • Communication is essential to establish the issues to fix, the elements to improve and the best software-related choices;
  • We design a plan that would best serve the requirements, and agree upon the software modules or solutions to implement and design;
  • The options are to adapt the existing software, or develop the new software to best suit the customer’s needs;
  • We deliver our product on time. Next, we provide support in the implementation, user training, and post-implementation stages;
  • Same room collaboration is greatly valued – nothing surpasses the power of personal collaboration.

 

Besides the expertise of the workforce, innovation requires a curiosity for the new, courage, determination, structure and a will to succeed. Focusing on what customers need now and in the future, along with what will make them more effective and efficient, proved to be the best way to go about becoming more innovative.

People need to be tenacious in their questioning of the status quo and accepted wisdom. They need to be able to anticipate mega-trends and incorporate them into products so that solutions are futureproofed for themselves and their customers.

Quote source

 

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Leadership

We enjoyed reading this article published by an infrastructure engineer from Quora, Angela Zhang. It presents project phases, focusing on the right way to do project scoping, in a realistic and efficient manner.

As we enable teams to deliver products to market faster, efficiency is key. We facilitate delivery in multiple markets without having to incur the costs and time delays in ramping up permanent organizations. Subsequently, have learned hands-on how to speed up the R&D process and reduce time to revenue, as well as reduce burn rate. Indeed, developing a realistic and revised version of the project plan is important.


The article we recommend talks about a few best practices in the field. It is concise and it provides a good insight view. To quote just a couple of paragraphs:

De-risk the project as soon as possible. Two common ways of de-risking a project include (1) working on the riskiest parts upfront, and (2) prototyping the riskiest parts using dummy data and/or scaffolding. Whenever a new open-source system or external service is used, that usually represents a big risk.

&

Define measurable milestones to get to the project goal. Schedule each with a specific calendar date representing when you expect this milestone to be reached. Then, establish some sort of external accountability on these milestones by, for example, committing them to your manager and setting up milestone checkins.

*Visit the freeCodeCamp page on Medium for similar articles.

*Our way of working ranges from fixed-cost projects to time & material projects. Also, the types of collaboration available include extension of the team, feature teams or entirely independent product teams.

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