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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Tech

It’s hardly news that traditional telecom businesses are in a tight spot. Changing their portfolio or gradually fading away – here are the available alternatives.

The reason for this lies within the explosion of new types of services and new delivery methods. To go straight to the point – if video killed the radio star, the Internet gave few chances to the TV and classic telecommunications. Its own stronger and more ubiquitous relative – the IoT, is the final blow to the old Telco industry.

That is, only if the businesses don’t leverage the situation on their side. Since many of the important players in the field are now already implementing their chosen course change, the “if” became more of a “when”. It is to be expected that all Telco operators that want to stick with this industry will restructure their offers.

 

What does upgrading Telco have to do with software development?

 

“Operators need to create dynamic new business models” – article on the systemic telecoms crisis. The new models “could implement the technologies of deep traffic analysis (DPI), service virtualization that cloud models increasingly use. An important trend is the consolidation of the larger industry players and the saturation of the market”.

Same source continues: “However, telecom has a lot to develop. Free services stimulate the use of more complex tools and such services become sponsored. A good prospect, for example, is M2M services, because inter-machine communication can generate huge amounts of traffic”.

 

IoT demands telecom – software development business partnerships

 

Another ReadWrite article tackles the telecom – IoT relationship alone. Smart, intelligent things own the future. Each of them comes with associated software, applications and online platforms. The big effort is to create an integrated global environment.

The telecom players “should redefine their business strategies, including key offerings around IoT”. Also, moving up the IoT value chain is mandatory, and it starts with better, more in-demand offerings.

In summary, the article we browsed lays down a few guidelines:

– Provide IoT-customized offerings;

– Be prepared to protect the IoT data by using blockchain;

– Find out about “smart contracts” and adopt them asap;

– Use partnership for success and survival (examples are in the source-article).

 

Is your telecom company in need of this type of changes? Looking for the right software consultancy & development partner?

 

Remember that at LASTING Software, we:

…speed up the R&D process, reduce time to revenue and reduce burn rate, enabling you to achieve more with less, faster. We give you the ability to extend your reach into customers for only marginal cost, we enable you to access new revenue streams and allow you to manage contingency without growing headcount.

 

…adapt to your business’s needs:

  • We provide IT consultancy services that involve an initial assessment of your operational needs;
  • Our way of working ranges from fixed-cost projects to time & material projects;
  • The types of collaboration available include extension of the team, feature teams or entirely independent product teams;
  • We listen to your story. This way, we establish the issues to fix, the elements to improve and the best software-related choices;
  • Together, we design a plan that would best serve the requirements, and agree upon the software modules or solutions to implement and design;
  • We adapt the existing software, or develop the new software to suit each individual need.
  • We deliver our product on time. Next, we provide support in the implementation, user training, and post-implementation stages.
  • We value same room collaboration. Nothing surpasses the power of personal collaboration.

 

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Tech

by Ecaterina Ganenco, Business Intelligence Developer, LASTING Software
(Presentation held during Codecamp Timisoara, April 2018)

The story of how developing a consumer mindset testing software influenced my way of thinking


Have you ever wondered why movies in Cineplex’s are scheduled? Why are they not always starting at the same time, or how managers show more comedies in a country, whereas a continent prefers romance better?

Before being part of the development team I used to go the movies rarely and mostly to Russian movies, which were more popular in my area.

The Movie Scheduling Problem and its data resolution

When people come to see a movie, they are following through a previous decision.

Decision-making is the process of identifying and choosing alternatives. It is based on the values and preferences of the decision maker. It also is a cognitive process.

Reverse engineering this cognitive process resulted in a smart software. A software capable of anticipating the selection of movie shows that would gather the most spectators. Among several alternative possibilities, the software aimed at pointing out the most suited scheduling formula.

The factors computed into such software are:

  • Decisional balance
  • Simple prioritization
  • Consulting with a person in authority
  • Anti-authoritarianism traits
  • Automated decision support (rule based)
  • Decision support systems (decision-making software)

The difficulty consisted in overcoming the decision-making paradox. Sometimes people decide predictably, while other times their choices may seem random. Yet, there are a few steps that would sift out the random factors as much as possible:

Formal analysis ->Covered problems -> Generalized set partitioning problem

Remember how historical data works magic? Inputting the historical data related to moviegoers serves in establishing patterns. We may not be able to eliminate the random element in decision making. But we can find the patterns in the outcome of the decisions, taken as historical data.

The app aimed to plan the best strategy. Finding out the optimal movie program for a single day given meant that it required a lot of details. The capacities of the screening rooms, the technical capabilities of this rooms, the list of movies to be shown or the set of theatre specific constraints are all important.

The formula is not unusual in big data apps. The users generate data – data is collected and packaged – the software processes the data – the software returns the data. Based on the returned results (predictive analysis), those who use the software can now make their own efficient decisions.

While working in software development, my focus is on the technology. However, my personal experience is that my mindset can also change due to the value and impact of the solutions I’m working on.

When I worked on a tool serving in understanding the consumer mindset, I had the opportunity of figuring out its impact on more than one levels. Such tools use big data. Finding out how my work, how the efforts of my team turn into structured data and facts, was important for me.

Products and services need to reach the people who enjoy them. In other words, the consumers need the right offer at the right time. Determining these key parameters may be a software matter.

 

How it is started:

 

How do you help consumers to consume more?

It is very simple – you provide quality and the right services/products.  Companies achieve product uniqueness through an elaborate process. But in this process they must answer two main questions:

–  What do consumers want?

–  What do (their) customers want?

Answers vary, of course. Factors such as culture may trigger different answers. I asked myself “So what determines if culture matters?” There are subjective areas of culture, for example religion, education or history. These stand the chance of being extremely personal. Their effect is seen in choice variations between different background people. Other factors are unifying. Patterns or globalization will ensure similar choices for example

 

We are consumers of our (own) applications

Any developer may answer the questions above when imagining it is she/he who uses that precise software solution. I thought about what I like and dislike as an app user.

What I like

– The application should solve a problem
– Easiness to navigate between pages
– Design

What I dislike

– If the application doesn’t resolve the problem
– If the application is not user friendly
– Performance issues

If the result of my work falls into the first category, I feel motivated.

Don’t ignore the word of mouth

Word of mouth or viva voce is organic marketing in itself. It can boost a product. It can also point out what goes wrong with it, before it’s too late. So just think:

– What sort of conversations are people having about the product?
– When people share information about our program, does it tend to be positive or negative, emotionally charged or indifferent?

Defining consumer groups

My story is about putting my work into perspective. I made the exercise of thinking as an app user, to objectively review the outcome of my activity. Then I became fascinated by the functionality of the software product I worked on.

To gather the right data, a big data software program needs guiding. Putting data sources into groups serves as guidance, for example. Half of the work is done if you can define the consumers groups.

Since the app I worked on targeted people, we had to define consumer groups. In the case of movie scheduling, I noticed this was achieved in 2 ways. I then thought of how this applies to a software product, to an app. One needs to test & define consumers as a prerequisite to grouping.

Test

–  A/B Testing
– Set the time of research
– Ask the question which you want answered
– Try to find and granulate all the things you need

Define

– Apply statistic tests to data
– Identify the vulnerable people
– People that don’t like the application – Who are they? Why don’t they like it?
– People that like the application – What are the main reasons?

What we should also take into account when we apply the test to a specific group is hidden features.
– Look at the details
– Run emotional ideas
– Test the nonverbal language

Also, historical data can do wonders.


My story

As a member of the public, I felt that any movie theatre chain that would use such tools to accommodate me better won my vote of confidence.

I started to go to the movies more. Especially English-speaking movies. I changed my decisions, in appreciation of the software-supported work that movie theatres put in, to meet the consumers.

The consumers are just clients, in higher numbers. And clients are always the masters. Accepting to be served gracefully is an art. In the current times we are often served by algorithms and software programs. Benefitting from this modern services is also a wise step, as well as an art.

So, the next time you go see a movie that is perfect for a rainy evening in the city, send out a good thought for the people behind the algorithms. We salute you through the software that just translated your preferences into reality.

 

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News

We wish a Happy International Women’s Day to all our colleagues from the company, as well as from our partners’ staff.

The question of how women benefit from equal chances is often the topic of this day. Especially when we think of rising through the hierarchy and reaching top leadership positions. Resilience serves in overcoming the struggles – and it also strengthens abilities and personalities.

Nevertheless, the opportunity needs to be available for women to begin with.

We found an interesting LinkedIn article that points out the main necessary skill for women leaders – in Sheryl Sandberg’s view. Find out here in the source-article more details, as well as three tips to build resilience into your own life.

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