Do you know Dividev as a software development company?
Technology and software development has become a primary necessity for business and everyday life.
Could you conceive of your company’s processes without email communication, computers, inventory management tools, location mapping, or data storage in the cloud? The answer is most likely no.
We entrust activities to technology tools because they complement human labor, free us from many small (but essential) responsibilities, and allow us to focus on other more transcendental activities, such as business strategies.
Just as you cannot conceive your business without commercial software tools, when you get to know the benefits of a customized tool developed by a software development company like Dividev, you will be amazed by the results you can obtain. Read on and discover them.
About Dividev as a software development company:
We are a digitally company that helps organizations that want to innovate and achieve their technological transformation.
Innovation: It is an essential pillar in our software company, which is all about capturing our customers’ ideas, taking them to their full potential, and effectively transforming it in cost-effective and scalable solutions.
Digitally native: We are a company that offers technology teams or highly skilled professionals under the nearshore modality. We have 25 years of experience supporting digitally USA & World Class clients through Development Centers in the Americas.
Technological transformation: Our focus is on growing our customers through software solutions based on artificial intelligence, data science, machine learning, and other intelligent and robust technologies.
Learn about our value proposition as a software company
We use agile frameworks of innovation and software development to guarantee you tailor-made solutions that are timely and exceed your expectations.
Use artificial intelligence, robust technology stacks, and high-level professionals to achieve the best possible result in each of the implementations and solutions we develop.
The best possible cost-benefit ratio. We work with the nearshore modality because it allows us to access high-level professionals in Latin America, so they share similar cultures, same time zone, and language (English) with you.
Staff augmentation is one of the new favorite practices of all companies (small, medium, and large). It’s the opportunity to access the best professionals from different industries and the world to make them part of your team.
In a few words, staff augmentation:
It’s a model where you hire specific professionals to fill short-term positions within your company. It has been used for IT and development purposes, but you can apply it to marketing, financing, and even team/company management.
Specialists become part of your team and cooperate with your company’s employees.
Benefits of staff augmentation
One of the most significant benefits is that you can hire people according to the specific needs of your business. And also temporarily.
It allows you to choose the most qualified people in a much more comprehensive territorial range than your city.
You can save money over time by avoiding problems (like cybersecurity). You achieve this with a temporary team that, if you wish, would not even work full time, so you free yourself from certain labor liabilities.
You save all the logistics of hiring a new member of your internal team.
You can constantly evaluate the person and add their knowledge and experience to your internal team.
Flexibility to choose the talents involved in your business projects.
Increase your team’s capacities and value.
Steps to augment your technology and software development team
Step 1: Choose the right partner
To do this, study the company’s reputation, offer, experience with other clients, even those in your same industry, years of experience, and all the aspects you consider necessary, and that will assure you that it is the right technology partner for your need.
Step 2: Choose the staff augmentation model that suits you best
Staffing is a flexible modality that you can tailor to your needs.
Determine and evaluate what you need and the scope of the service. This will allow you to negotiate favorable hiring conditions.
This point is based on knowing what you expect to achieve with the professional you hire, establishing SMART goals with their incorporation, and, more importantly, defining how you will evaluate the performance of the functions and the fulfillment or non-fulfillment of those objectives.
Step 4: Establishes and prioritizes the channels of communication with the staff member
Communication is the basis of all human relationships, including work relationships.
A team that does not communicate well is inefficient and does not meet its objectives.
The professional, although independent, must be incorporated into the ecosystems of your team and provide sufficient channels of communication and feedback so that he can perform his work successfully.
Step 5: Think about the maintenance plan
A maintenance plan includes reorganizing the team after retiring the contracted professional. How to divide responsibilities and activities.
At Dividev, we offer talent from Latin America
Why Latin America?
Because it has the right timezone with you in US.
We have the higher universities, specially in Argentina
We hire the right engineers filtering the best talent with our excellent selection process. The result is a cost-effective solution compared to hiring American talent of the same caliber.
We pay monthly to your team members and cover all local government taxes for you. Do not worry about the hiring process, unemployment, finances, payroll, IT infrastructure or legal problems.
We set up a complete professional work station ready to join your team. We create an environment for your brand in our offices. Our candidates become a true member of your team. It will be your new site in LATAM!
Let’s take a first look at team augmentation:
It’s an outsourcing strategy that allows you to attach a limited talent pool to your technology team based on your internal needs.
It is an outsourcing modality similar to staffing but more oriented towards small teams for specific needs.
The companies with this service (like Dividev) provide a small group of highly qualified professionals with particular subject matter expertise for a specific project or even on a long-term basis.
Although it seems a synonym for staff augmentation at first glance, it is not, and in the next post, we will expand a little more on this figure [so that you can make a strategic decision on the matter, which is profitable for your company.
Are you clear about staff augmentation as a way to hire and expand your internal team? If not, we have enabled a contact form so that you can clarify your doubts about the subject or our services.
A common need for all industries is the automation of processes or the development of software solutions that improve productivity, and resource use, among other internal and external activities.
This is why the figure of technology partners has become so popular. But with so much to offer in the market, how do you know which one is right for you? Here are 7 attributes to look for in a software development partner. Read on!
First, let’s learn: what types of technology partners can we get in the market?
The world of software is vast. That’s why you can find:
Saas companies provide a software solution (already built) to solve some challenges of your business, such as financial management, communication, and resource planning.
Software development companies provide complete teams of developers, designers, Q/As, project managers, and a whole structure that you hire to develop one or several software solutions for you.
Staffing: It’s a service from a professional who will be part of your software project development. You hire for a limited time to complement the work of your internal technology team.
There are other subdivisions within this category, such as nearshoring, offshoring, and delivery teams.
You must evaluate your current status and recognize which of these modalities suits you best.
Now, let’s get to know 7 attributes to look for in a software development partner
What methodologies and frameworks do they use. Be sure that they have enough communication instances. Do They allow you to continuously and transparently monitor the project’s development? They handle deadlines, what are their cooperation and teamwork policies if you can integrate a product owner or a member of your company into the development and testing, etc.
All these aspects are part of the workflow, and you must ensure that your software provider is compatible with your philosophy and expectations.
2: Team talents
All companies want the best professionals within their ranks. Still, before hiring someone, it is always good to be sure that the professionals involved have the proper knowledge and experience, even if they have worked on projects similar to yours.
Feel free to check the name or a profile such as LinkedIn to verify this information.
For example: if you are going to develop a native iOS application, make sure that the team you hire is all specialists in the field and, for example, do not have a flutter programmer instead of a native one.
Having the best talent pool is an essential part of the success of a software project.
3: Tech stack and framework
This attribute is related to the first one, but it is so important that it deserves to be considered in particular.
Discover if your team manages agile methodologies such as SCRUM, or traditional ones, tools for managing teams, project instances, and even the ones used to store information, infrastructure, and devices. All this information can help you decide if a group or professional is the right for your project.
4: Time zone
This may seem like a soft quality, but it’s more important than you think.
Having a software development team with the same or similar time zone to yours will guarantee better communication, fluid feedback, you will be able to check changes and improvements on time, and many other benefits.
The good thing about having remote teams is the possibility of handling this. Ask your supplier for a team with a time zone that works for you.
5: English proficiency
English is the universal language. Most software development teams are multicultural.
You see professionals from many countries interacting in a working ecosystem. This has many advantages, but they must also ensure minimum operating conditions, and English language skills are one of that conditions.
Make sure that all team members can communicate perfectly, and if you feel comfortable with English, this is the language you should guarantee.
This way, you will avoid misunderstandings, and the final result will be more satisfactory.
6: Portfolio and previous experience
It is always valuable to know the experience of others with the equipment you hope to hire.
Knowing what problems they solved, how they did it, what technologies they used, and their success stories will allow you to hire a little more confidence in the excellent experience that others had with that company or professional.
It is a plus if they have previous experience developing software solutions in your industry.
7: Contingency plans and security protocols
This is a critical topic. Do you have standardized procedures to face challenges and difficulties? How do you handle cybersecurity? Confidentiality? Do you have crisis recovery management?
If the answer is yes, you can consider this software development partner as a good option.
In Dividev, we can be your allies under two modalities:
These are only 7 attributes to look for in a software development partner, but there could be many more. The more attributes they can offer you, the better. But remember: these qualities must be aligned to your philosophy and needs for the results to be satisfactory. What are you waiting for to get started?
Why is it important to know Data Science courses and workshops? The most valuable asset of the present and the future is information. We generate data through our searches, consumption, locations, interactions, and other actions that we all have daily on the Internet.
Information has revolutionized the world since the arrival of search engines like Google and social networks. That is why whoever wants to capitalize on a market must collect data about their customers, but it is necessary to know what to do with it too.
This is how data science became one of the most decisive disciplines for the commercial area of all industries in the world. Its mix of technology and software development makes the discipline challenges.
We created a compendium of top Data Science courses and workshops that we consider valuable for anyone interested in data science because of:
✅Have a digital business
✅Plans to have one
✅Is a digital freelancer
✅IT or Marketing Manager
✅The leader within a company
✅Participate in decision making
✅Or even want a promotion, making the company you are part of more and more PRODUCTIVE.
But first, let’s talk about what is data science?
It is an artificial intelligence technique where large volumes of information are collected and analyzed and then is determined the best way to handle and interpret it.
Discover trends, predict the future, and anticipate it with strategic decisions.
This discipline combines software development techniques, computation, probabilities, management, and even new technologies such as machine learning.
It is presumed that specialists in this field will be the most demanded in a few years, along with software developers and marketers.
Suppose you do not want to be one of them, but you are part of a company. In that case, you must know about data science to take advantage of its potential or hire the right person who will take the productivity of your business to stratospheric levels with the help of the data management of your customers.
As we are clear about the importance of knowledge, we continue to move forward with the proposals you can get today in the data science training market. ⬇️
Top 5 Data Science Courses and Workshops this 2022
There are ten introductory courses to data science as a discipline.
You will learn:
The entire data science process, from acquisition to publication.
You will learn about the Github repository to manage data science projects. And perform regression analysis, least squares, and inference using regression models.
You will learn basic concepts, the right questions to ask to drive the process, and the necessary tools. And you will develop a final project to apply all the skills learned by building a data product using real-world data.
In the end, you will be able to use this first project as a portfolio.
Although this course is introductory, it requires participants to have basic knowledge of Python and be familiar with the basic concepts of statistics and linear algebra, such as mean, median, mode, standard deviation, correlation, and the difference between a vector and a matrix.
This is a Bootcamp where you will learn the basics of data science, the leading technologies, the principles of machine learning, and even have a simple but practical coding experience.
It is designed for six weeks and is 100% online.
Like the previous one, you will develop a final project, which you can use as a portfolio.
This introductory course is part of the university’s Data Science Professional Certification Program. In it, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.
Its focus is on machine learning under the same logical scheme that data solutions are built.
You will learn about training data and how to use a dataset to discover potentially predictive relationships.
You will also learn about overtraining and techniques to avoid it, such as cross-validation.
As we mentioned in the previous course, machine learning principles are related to data science. In fact, it is advisable to learn both together to understand the processes better.
Therefore, we did not want to overlook a course on this discipline in our list of recommendations.
You will learn the complete data research process through a machine learning lens. You will be able to extract and identify useful features that better represent your data, some of the essential machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
This is a free, 10-week beginner course sponsored by UDACITY.
We could not leave out our Workshop on Data Science, Machine learning, and AI, all fundamental concepts related to the predictive analysis of data and a company’s success.
Our specialists prepared ten videos in which you can learn basic concepts of these disciplines. Application models, technologies, and many valuable tools to start your career as an analyst and data scientist, or even make the right decision about the team you will have in your company.
As we commented before, it is not depreciable knowledge because it represents the present and future productivity of many companies.
To be able to predict your customers’ behavior to offer them solutions. Anticipate some changes in the industry to make strategic decisions that will help you be more efficient in your processes.
These are just some of the advantages we want you to take advantage of with our Workshop.
Data science applies to all industries without exception.
Imagine being able to predict another pandemic and, this time, being prepared? That’s the power of data science and another concept we’ll look at another time: big data.
We invite you to get trained in the subject with any courses and workshops on data science that we recommend. Once you know about it, you can learn about our offerings and consider them based on your knowledge. We are at your service to support you in this area.
An off-the-shelf vs customized solution? Have you had this question in your company? Most likely, yes. And the truth is that there is no correct answer. Depending on your situation, one solution or the other will be more convenient.
Here are a couple of details on this topic, and we apply them to your company’s logistics processes. Let’s compare Off-the-shelf vs. Custom software solutions.
What can you get from commercial software for your logistics process?
A software solution more economical than the customized
Tools designed for many different types of users
Implementation and installation are standardized
Tools that many people know how to use because many companies use them, regardless of their industry.
Customization of functions is limited.
The design does not necessarily reflect your company’s structure, personality, and vision.
Tools that don’t work for particular processes or activities of your company
You may not need several functions, but if you don’t mind underutilizing them, no problem.
Renewal of licenses or fees periodically.
If you implement a solution, it may not be compatible with your systems. It is an aspect that you should consider before hiring one.
This is what you get from a customized software solution
You will get a customized solution for the processes, activities, and needs of your logistics process.
You are the owner and administrator of the tool developed, so it’s in your hands to upgrade it whenever you consider or launch it to the market as a specific tool for your industry. Under that premise, you would turn your solution into a SaaS product.
You will need more time and money initially, but you will save annual payments or license renewals in the long run.
You avoid the risk of obsolescence and, even worse, the cancellation of tools because the software depends 100% on you.
It is a scalable tool.
It would help if you took the time to choose the right team of developers and the right software factory because, to a large extent, the tool’s success depends on it.
You forget the problems of incompatibility between tools because you are the one who develops the system.
You can choose the tech stack.
The development process is a little later (even with agile methodologies).
What is best for a logistics process? Custom or commercial software?
We begin this point by clarifying that all situations and needs are particular. It would be best to make a final decision, and you are accompanied by the opinion of an expert in the field. Still, a couple of factors can give you a clue of what you need.
Use it commercially:
✅When your initial investment is very low
✅ In case your logistics process is 100% standard (for all industries).
✅If you have a technology department and programmers within your company.
✅Time or efficiency differentiation is not a necessary value for your company.
✅Preferably if your offer is B2B
Develop it customized:
✅If you are interested in optimizing your logistics activities continuously.
✅You work with large volumes of customers
✅When your offer is B2C
✅Your logistics process has specific activities outside the conventional ones.
✅If you have different technologies within your company’s system and you would like to unify them and make them compatible.
✅You want to scale the tool
✅Do not have a large technology team (it will always be necessary).
✅You want to capitalize on the market (it is much more difficult to achieve this with conventional tools).
✅If you are interested in monetizing your product in the long term.
Dividev is the software factory that will help you develop your custom software tool successfully
We are a team motivated by innovation, working only with the best technologies available in the market.
You will be interested to see what data analytics, artificial intelligence, blockchain, and other tools will do for your logistics process. Sound it out, and we’ll develop it for you. If you only need consulting for the moment, we can also support you! Contact us, and we will gladly help you decide what best suits your business between developing an off-the-shelf vs. customized logistics software solution.
Imagine that you can know all the critical data about your ideal client, their interests, pain points, desires, emotional states, searches, etc. Then you interpret this information, and you can predict their response because you build a travel offer according to their current state.
This guarantees a purchase and, more than that, loyalty because you hit the nail on the head with what they were expecting.
Although this premise seems to be taken out of a science fiction movie, it is possible thanks to artificial intelligence and data analysis as a solution within this intelligent world of technologies.
In the tourism industry, affected by the effects of the pandemic, this could mean the difference between recovering in the short or long term. Read on to learn more about how you can turn your business around by applying an innovative data analytics solution.
How can data analytics drive the travel industry and potentially your company?
1. Analyze the GDP, which sectors have contributed to the industry, and to what extent.
2. Analyze the critical actions performed by your competitors (market analysis).
3. Analyze your actions and strategies vs. the results obtained to optimize efforts.
4. Your consumers’ behavior in social networks and search engines.
5. Find more easily the actions taken by governments, tourism offices, and entities involved in your industry that may favor your commercial development or harm you.
6. Statistically analyze your growth or loss
7. Make future projections about the behavior of your market based on past information (it happens from the moment you implement an intelligent data analysis solution).
8. Identify which actions are good (to reinforce them) and which are not (to improve them).
9. Discover new routes, destinations, or travel intentions (users are constantly changing).
10. Identify new services that you can include in your commercial value proposition.
11. If you wish, even forecast data on future pandemics or disruptions in the global status quo to make provisions for them.
Data analysis as a technological solution can provide many answers that even our human mind cannot understand, and it would not be the first time this has happened. All artificial intelligence algorithms are developed to improve themselves as they obtain more information and suggest new trends or discover things we never imagined without us explaining it because it self-manage their intelligence from the data it collects. Sounds interesting, doesn’t it?
You can develop a data analysis solution for your tourism business with our team. Please find out how we can help you.
Success stories of data analytics application in the tourism industry
KAYAK integrated with ALEXA skills
This company currently offers its users the possibility to perform a voice search with simple parameters such as:
Alexa, ask KAYAK where can I go on vacation in October for $1,000?”
In response, that person will be able to track flights, book hotels, search for destinations, and take into account the data that Alexa itself collects about him. That’s the promise of KAYAK.
By providing access to information to your customer, you increase the chances of purchase and get valuable information that you can then use to your advantage.
Airlines such as United Airlines and even airports, such as Amsterdam’s Schiphol Airport, use big data and data analysis to detect fraud and errors in flight allocation, analyze customer behavior and even measure customer satisfaction through the data generated every time they use their services.
This may sound invasive, but it is the opportunity to improve your users’ experience through personalization, which seems to be the critical factor for future success.
Do you want to know how we apply AI and data analytics solutions with our partners?
Let us schedule a no-obligation exploratory meeting if you feel attracted by the results you can enjoy. And if not, you can also contact us to know the scope and even the profit you could generate from implementing an intelligent data analysis solution in your tourism company.
Analyzing and strengthening the cybersecurity of a business system today is beyond human capabilities. There are more and more advances in automated and bot-borne cyber-attacks! How to respond? With a similar strategy as a customized artificial intelligence solution to strengthen your company’s cybersecurity. Read on if you are interested. ⬇️
Why artificial intelligence and machine learning have become essential for enterprise cybersecurity?
Thanks to data coverage, artificial intelligence solutions focused on a company’s cybersecurity can identify many types of threats, from malware that exploits zero-day vulnerabilities to identifying risky behavior of human teams that could lead to a phishing attack. Artificial intelligence sees and analyzes everything, and you can leverage this to your company’s advantage.
Other benefits of artificial intelligence for cybersecurity
You can perform predictive analysis of attacks based on language processing and curation of content entering the company’s communication channels—for example, articles, news, studies, etc.
Perform obsolescence analysis of the company’s systems and even schedule updates on time.
If you have a remote team, an artificial intelligence solution could extend protection even to those endpoints, representing the weak link in the chain, not because they are in skills, but because they work from a network that you cannot control (in theory).
Application of AI in cybersecurity
Remember that AI is ultra-complex algorithms developed to solve incognitas or problems. This same principle is applied to cybersecurity.
Some specific applications of this technology within your organization are the following:
Perform periodic inventories of IT assets, i.e., all devices, users, and applications with access to sensitive information sources.
Provide knowledge and updated analysis of the latest attack technologies (even automated).
Adequate cybersecurity point controls, i.e., understanding the strengths and vulnerabilities of your systems and even your team members, to make them less prone to cyber-attacks.
Incident response. In case of attacks, you can have an artificial intelligence tool to counteract the effects. In other words, an “intelligent” defense protocol.
Some examples (early adopters) of artificial intelligence for cybersecurity
Google: specifically with Gmail, using for years automatic learning protocols to understand your habits, language, preferred contacts, as well as dubious, possibly malicious emails, etc.
IBM: with its Watson platform, they use cognitive learning for threat detection.
Balbix Security Cloud is a platform that performs observations and analysis to provide continuous and real-time risk predictions, risk-based vulnerability management, and control of security breaches in systems.
These are just three commercial solutions, but the alternative of developing a customized tool is always on the table. In the end, it is an option tailored to your company’s needs.
Do we believe that artificial intelligence will completely dominate the enterprise cybersecurity landscape?
We think so because it complements and facilitates security teams’ work and has a real-time and even predictive coverage of cyberattacks, superior to the human one.
Intelligent cybersecurity solutions are becoming more and more popular, and we aim for this 100%.
We have a team trained in the field to support you with this task. Contact us if you want to start planning your artificial intelligence solution for your company’s cybersecurity today.
Do I Need an Artificial Intelligence Solution for My Business?
The answer: 57% of 1843 companies worldwide use and leverage artificial intelligence in their operational and marketing processes after the impact of the pandemic, and all claim a company grew and more productivity at least 5% after its implementation.
What Can an Artificial Intelligence Solution Do for Your Business?
Artificial intelligence is an algorithm developed to assimilate human activities, such as problem-solving, learning, creativity, planning, and reasoning, among others.
It is intelligent software development. Sometimes, these algorithms are implemented in machines or robots, focused on learning (machine learning), or incorporate hardware and software interconnected thanks to the internet (IoT).
No matter which AI solution you apply in your business, you will be able to enjoy in general:
✅Automation of processes (repetitive ones)
✅Decreasement in the margin of error
✅Reduction of operating costs
✅Improved customer service
✅More efficient information management
✅Real-time monitoring of your operations from anywhere in the world
✅Greater efficiency and effectiveness in your processes.
Specific benefits of AI for businesses
1. Why does AI in my business increase efficiency and productivity?
Technology tools can manage tasks on a scale that humans cannot.
They can work indefinitely, more accurately handle the completion of repetitive operations, and automate previously manual tasks.
Putting these qualities into a human-driven production process makes the result more efficient and effective.
This does not mean that artificial intelligence solutions replace human labor. Instead, they complement it and make it less error-prone.
2. AI speeds up all activities, including ROI
Making the work more efficient reduces the time from step 1 to the commercial phase.
If you produce and sell faster, your return on investment will also come sooner.
By having shorter production and commercial cycles, your customers will be more satisfied. Immediacy is the most outstanding quality of the new era of consumption.
Users want everything right now. Do you feel ready to take on that challenge? If the answer is no, an artificial intelligence solution can help you be.
3. AI provides efficient information management and opens up business opportunities
One of the most exciting aspects of artificial intelligence solutions is the ability to store, access, and, above all, interpret process data.
This quality allows you to access at any time and to have performance statistics to reinforce critical aspects and know the development of your operational and commercial processes with greater detail and precision.
It also allows you to analyze where are new sources of revenue for your company.
For example: if you are a tourism company, with the help of artificial intelligence, you could perform predictive analysis of your customers’ purchases and segment them by destinations/seasons of the year, among other aspects that may be escaping your and your team’s sight.
This way, you can make strategic decisions that allow you to create new packages or offers according to your consumers’ behavior.
Implementing an artificial intelligence software solution is a win-win strategy.
4. Artificial intelligence in my business can improve customer service
The difference between a productive and well-positioned company, and one that is not, usually falls in customer service.
How can artificial intelligence support you with this work?
You can develop a tool to load all the data you have about your customer, including their profiles, interests, etc., and get new solutions from it.
Another idea is the generation of chatbots to attend to customers’ requests on time. Or create a tool with which your customer can track their order/shipment, and so on.
There are many other possibilities to develop and improve your consumers’ experience with your brand. Artificial intelligence facilitates this path and digitally transforms your company to increase customer satisfaction.
5. Supervision and follow-up of activities is a piece of cake
The best thing about artificial intelligence as a technology solution for businesses is its ability to collect and process massive amounts of data in real-time, allowing you to track that data.
With an AI software tool, you can detect problems with machines, bottlenecks in your process, when equipment maintenance is needed, the cybersecurity status of your infrastructure, and the options are almost endless.
You can access this information quickly and easily, and sometimes even from your mobile phone. Sounds good, doesn’t it?
6. Algorithms make fewer mistakes than people
Some repetitive and detailed tasks are prone to errors, for example, administration and accounting operations.
With an artificial intelligence tool integrated into a solution such as RPA (robotic process automation), it is possible to speed up these processes and reduce the margin of human error.
In this way, we achieve that the human team takes care of the most complex tasks, while these tools can deploy the repetitive ones.
7. Artificial intelligence facilitates and improves the experience and management of human capital
This idea is closely related to the previous one. Suppose we use artificial intelligence tools in those tasks that underutilize human skills.
In that case, it is possible to expand the allocation of human talent to complex and essential activities that require human judgment.
Artificial intelligence solutions are even used to measure employee feelings, identify and retain high performers, and determine fair compensation.
What do you think about these 7 reasons to invest in an artificial intelligence solution for your company? If you have already decided to implement it, we invite you to contact us and make a consultation with our specialists. Dividev is a digital company that helps organizations that want to innovate and achieve their technological transformation, including artificial intelligence for businesses. Do you dare to take advantage of its benefits?
You don’t need to keep asking yourself the question Do I need artificial intelligence for my business?
More and more technology and business leaders are increasing their effort to improve efficiencies and streamline workflows within their operations. CEOs and CIOs also need to increase their revenue, while providing better service quality at each step to keep customers satisfied. This is why so many companies today are turning towards enterprise software for business automation like ServiceNow. Business automation is considered to be one the best solutions for companies like yours to improve productivity, decrease costs, and better efficiencies, all in one-go. ServiceNow is a leading cloud giant and an industry leader that provides businesses with an integrated and connected set of applications that allow you to improve various aspects of your organizational workflows and operations.
One of the biggest benefits of your company adopting ServiceNow is its integration capabilities. Integration is one of the key areas that aids in business automation. How can you get even more from your ServiceNow software? Here, we list 5 ways how ServiceNow benefits your business success.
1. Better Integration
Multiple automation tools can streamline specific tasks for you like ticketing and invoice tracking. However, even if you invest in many different systems to automate various departments within your business, many times gaps in service remain as the information between these systems cannot be freely exchanged. ServiceNow is different in that, it uses the same core platform behind ServiceNow ITSM and extends its functionalities to other business functions. ServiceNow provides a single point of contact like HR service delivery and customer service management.
2. High ROI
Whenever you invest in a new software, your goal is always to see the highest possible ROI. As such, you don’t want a buggy or glitch-ridden software. ServiceNow is a global cloud computing giant that uses a unified singular system to manage your IT and business processes. You get regular updates, best-in-class performance analytics, and through a world-class partner network of technology partners also get rapid implementations and all customization and upgrade help. All of these help you get the fastest ROI.
3. Provide Better Quality Service
ServiceNow provides you complete visibility over all your operations and gives you options to create personalized reports. Due to a single point of contact with ServiceNow service management, everyone on the system is forced to submit a request the same way and wait for results. This gives a chance for the workflow automation system to take over and translates problems for faster resolution. Thereby, resulting in better customer service and happier internal staff.
4. Improve Productivity
With service management software like ServiceNow, your employees do not spend valuable time wasted on waiting for approvals and responses. ServiceNow can automate tasks to understand, notify the correct personnel and sometimes even fix the problems before they can harm your customers. Through workflow automation, ServiceNow can negate wait times and interruptions.
5. Consolidate Processes
ServiceNow ITSM helps you consolidate processes using the Now platform. Performance analytics offer insights that promote action. ServiceNow service management also helps you eliminate redundant processes for maximum efficiency.
Data is more present and more powerful than ever. It can be tapped to tailor products, services and experiences. It contains insights on all manner of things; from shopping and travel habits, to music preferences, to clinical drug trial efficiency. And, critically for businesses, it can improve operational efficiency, customer conversion and brand loyalty. DataOps can help developers facilitate data management to add real value to businesses and customers alike. But, because it can come in many different forms and there’s so much of it, data is a messy mass to handle.
Modern data analytics requires a high level of automation in order to test validity, monitor the performance and behaviour of data pipelines, track data lineage, detect anomalies that might indicate a quality issue and much more besides.
DataOps is a methodology, created to tackle the problem of repeated, mundane data processing tasks, thus making analytics easier and faster, while enabling transparency and quality-detection within data pipelines. Medium describes DataOps’ aim as; “to reduce the end-to-end cycle time of data analytics, from the origin of ideas to the literal creation of charts, graphs and models that create value”.
So, what are the DataOps principles that can boost your business value?
DataOps relies on much more than just automating parts of the data lifecycle and establishing quality procedures. It’s as much about the innovative people using it, as it is a tool in and of itself. That’s where the DataOps Manifesto comes in. It was devised to help businesses facilitate and improve their data analytics processes. The Manifesto lists 8 core components, which can be summarised as the following:
Enabling end-to-end orchestration and monitoring
Focus on quality
Introducing an Agile way of working
Building a long-lasting data ecosystem that will continuously deliver and improve at a sustainable pace (based on customer feedback and team input)
Developing efficient communication between (and throughout) different teams and their customers
Viewing analytics delivery as ‘lean manufacturing’ which strives for improvements and facilitates the reuse of components and approaches
Choosing simplicity over complexity
DataOps enables businesses to transform their data management and data analytics processes. By implementing intelligent DataOps strategies, it’s possible to deploy massive disposable data environments where it would have been impossible otherwise. Additionally, following this methodology can have huge benefits for companies in terms of regulatory compliance. For example, DataOps combined with migration to a hybrid cloud allows companies to safeguard the compliance of protected and sensitive data, while taking advantage of cloud cost savings for non-sensitive data.
DataOps and the data pipeline
It is common to imagine data pipeline as a conveyor belt-style manufacturing process, where the raw data enters one end of the pipeline and is processed into usable forms by the time it reaches the other end. Much like a traditional manufacturing line, there are stringent quality and efficiency management processes in place along the way. In fact, because this analogy is so apt, the data pipeline is often referred to as a “data factory”.
This refining process delivers quality data in the form of models and reports, which data analysts can use for the myriad reasons mentioned earlier, and far more beyond those. Without the data pipeline, the raw information remains illegible.The key benefits of DataOps
The benefits of DataOps are many. It creates a much faster end-to-end analytics process for a start. With the help of Agile development methodologies, the release cycle can occur in a matter of seconds instead of days or weeks. When used within the environment of DataOps, Agile methods allow businesses to flex to changing customer requirements—particularly vital nowadays—and deliver more value, quicker.
A few other important benefits are:
Allows businesses to focus on important issues: With improved data accuracy and less time spent on mundane tasks, analytics teams can focus on more strategic issues.
Enables instant error detection: Tests can be executed to catch data that’s been processed incorrectly, before it’s passed downstream.
Ensures high-quality data: Creating automated, repeatable processes with automatic checks and controlled rollouts reduces the chances that human error will end up being distributed.
Creates a transparent data model: Tracking data lineage, establishing data ownership and sharing the same set of rules for processing different data sources creates a semantic data model that’s easy for all users to understand—thus, data can be used to its full potential.
So how is DataOps implemented within an organisation? There are four key stages within the DataOps roadmap:
Organizing work in an agile way
Laying technical foundation
Laying the foundation for data modelling
The potential stored within the vast sea of data companies now have access to is limitless. But without a proper framework for processing all this information, its potential can’t be fully exploited. We now have the tools and the human intelligence to be able to harvest our data in a smarter way. DataOps is a pivotal piece of that puzzle and, by employing this methodology alongside Agile practices, it becomes the key to understanding our customers, our own inefficiencies and opportunities and, ultimately, building better businesses.