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

ROX means Return on Experience and it expresses “how businesses create value across connected experiences and how that value can be followed and measured down into individual moments themselves”.

As you can see, the concept and its formula is not new. It is around since at least 2014, which means it is resilient enough. ROX didn’t go away, and the customers’ profiles indicate that it meets their evolution. The way customers interact with organizations and brands is increasingly experiential. Regardless of generational segmentation, people enjoy considering the way their providers treat them. From cold advertising to online or brick-and-mortar stores or meeting points, each move counts.

But how can businesses track a customer experience, trace the positives and the negatives? It’s all about going digital, of course. Even smaller businesses need technology to set up an omnichannel experience, let alone to follow what goes on during it.

Digital nowadays means Big Data. Sensors serve in capturing Big Data, and proficient software solutions in processing it. Relevant insights provide partially structured information. From there on, it’s up to the human decision factors. Strategy is at greatly eased once the digital tools support accurate prognosis.

Although the article we quoted approaches ROX in relation with marketing, it is more than this. As soon as an organization has the image of how its customers perceive it and interact with it at each level, decisions of all types may sprung and improve the business.

 

Customer experience analytics – a field open to competition

Back to 2019, and we find this on ROX in a Strategy + Business article:

A revolution in technology has created the devices and interfaces that allow people to interact with companies anywhere and anytime, and has enabled customers to influence a global audience with their comments or likes

Source

Now that the technology is able to provide further meaning and structure to the ROX concept, the software solutions make all the difference. The companies may have custom-made software tools made for their specific needs. Mixing and matching the right devices, hardware and software elements is now highly likely to provide a virtual crystal globe. All things related to your customers, from past experiences to what should you improve, are available in it.

Of course, most often than not, companies also compete for the same pool of customers. And that is why in a sense mastering the ROX concept is in fact a race. From grasping its meaning, to becoming an adopter and finding the best Big Data solutions – it is all a competition.

LASTING Software is experienced in Big Data software solutions that empower our clients to harness the power of newly available information. Also, user experience is one differentiator that will set you apart from the competition when you partner with us.

Contact us & move towards the right solutions that will enable you to better understand your own customers – with us!

 

0

Leadership

ZDNet takes a look at the AI and Machine Learning predictions, in what the business environment is concerned. Expected to surge in 2019, the rapid adoption of these new technologies also brings different business challenges.

The article mentions the necessary (and huge) shift that is absolutely required for organizations to thrive. Going from buying “black boxes that will fix our problems and offer us solutions” – as the publication puts it, to the next stage, won’t be easy.

A passive attitude welcomes possible cases of “algorithm sprawl, project management issues, and vendor hype”.

But what modern, wise organizations do? How can we all avoid the so-called bad implementations of AI & ML?

 

 

Who will have to handle AI data?

Since data science is not a magic  trick – although sometimes it may seem so – in order for it to work, key people in your company come in. Apparently, “everyone from mid-level managers to C-level execs are going to use this AI”. They also need to understand how to use it, to be prepared and aware of this new age of technology.

Therefore, determining who will work with your AI data is absolutely necessary. You need the big picture before going into details. However, getting the right big picture requires experience.

Use experts – get consultancy as an ally in this big battle. You want to understand what will be going on, and someone who can put the process into perspective can make you go a long way. Having worked with systems, apps, connected data, Artificial Intelligence and data science, professional consultants can provide a reliable blueprint. How will it work for my business? The answer to this is much more accurate when you obtain it with the right guidance and assistance.

 

What does your AI data need to provide answers for?

As the article we’ve mentioned lists, operating Big Data generates effects that go beyond the lucrative insights.

You will also need to have a strategy and to deliver reports to your board.

As the process evolves at a global level, you will need to choose the most suited AI services pack – from the big tech cloud providers.

Data scientists are still scarce, and the models you will be dealing with lack transparency.

The AI-trained professionals are also scarce, and this specialization just made its way into the academic curriculum. For now, hands-on experience prevails.

Your AI data needs to provide answers and guidelines for all of the above, and more. You will be working with a tool with huge potential that you barely understand. Nevertheless, you need to move relatively fast while making the best choices. The AI tools unleash their potential on the go. Add an extra layer of software solutions – and you have a new functionality. Get on board with the best cloud provider, and you will be able to deploy your tools next-level style.

 

Prepare for the next step, by getting a partner that understands the new technology

It’s not only AI. As we’ve seen, it’s also Machine Learning, Big Data, algorithms, analytics, IoT, embedded sensor software, various layers that have to integrate with each other.

Working all these out into the strategy of your company, while resetting certain functionalities and expanding others – this won’t be easy.

As all things good and new, as overwhelming as it may seem, it needs to be done. The sooner, the better. Make the first step and choose a reliable software partner, one experienced in business digital transformation. Call, talk, schedule the meetings you need, soon you will have a whole new perspective on the matter.

 

We are here for you – our know-how and experience are both rich, and our eagerness and innovative spirit are the right match for this future of technology.

Contact us and let’s find out more about how a potential partnership may look like, and what it can do for both of us!

0

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

 

0

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.

0

PREVIOUS POSTSPage 1 of 2NO NEW POSTS