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Improved Data Research and Presentations

Unlike the 2D data representations, 3D data visualizations using the immersive technologies (AR/VR) are highly effective at elevating the data research process during various stages. Nowadays, the data scientist is massively using mixed reality techniques to investigate complicated data structures and to extract the hidden patterns via immersive technologies. VR simulations cannot only emphasize the data exploration process but can also predict future business outcomes through 3D data models. Besides, AR/VR/XR technologies provide an effective way to collaborate within the organization and sharing of discoveries with the stakeholders in a presentable manner.

Get to know about the benefits of AR and VR in data science and also creates great opportunities and possibilities in the creative environment.

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Collaboration in Real-Time

A collaborative form of immersive data visualization is rapidly trending among the tech community. The unique data visualization methods draw the exact data on the table enabling the users to hover on it, explore the details, and generate charts. Moreover, users can add new datasets, variables, and understand the data completely through immersive technologies. Similarly, the visualizations can act as a virtual meeting room where the distributed teams can collaborate and work on the data projections.

Get to know about the benefits of AR and VR in data science and also creates great opportunities and possibilities in the creative environment.

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How the immersive technologies AR/VR are transforming the modern data visualization techniques?

Better and Actionable Data Insights

In an average organization, collecting, analyzing, extraction of useful insights consumes a lot of time and creates blurry and irrelevant conclusions. Here, data visualization plays a key role, it inspects and extracts only the actionable data with minimal efforts. The use of VR/AR in data visualization enhances process effectiveness by rendering an immersive environment. For instance, integrating VR techniques in the product development lifecycle can precisely detect the flaws and errors that may further lead to process hampering or other business challenges.

Enhanced Decision-Making Capabilities

Implementing AR and VR solutions enable organizations to enhance their decision-making process significantly. Data scientists can leverage the benefit of gathering important facts and figures from the analysis report with the help of data visualization. Besides, Data visualization using AR/VR helps in forming efficient strategies to seamlessly attain critical business goals and objectives in the lowest timeframe. It facilitates business processes by enabling prompt responses that effectively runs daily operations in multiple companies.

Get to know about the benefits of AR and VR in data science and also creates great opportunities and possibilities in the creative environment.

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How AR/VR is Transforming Data Visualization

According to Forbes, we have created 2.5 quintillion bytes of data and over the last two years alone, we have created over 90% of the world’s data. According to research, all the data between 60%-73% within an organization goes unused for analytics, whereas the percentage is even higher for small scale enterprises. The major impediment behind effectively utilizing such data is the ability to perceive the data as facts that make the dependence of the efficiency on the visualization techniques. The traditional 2D representation of the big data analytics restricts the imaginations, facts, and conclusions from the data gathered.

The demand for data visualization in AR/VR has grown tremendously for a few years. Enterprises are making optimal utilization of their data by creating technology solutions that maximize customer engagement levels, efficiency, and business capabilities. Such data-driven solutions incorporate next-gen technologies like AI, ML, Big Data, IoT, and immersive technologies like AR (Augmented Reality) and VR (Virtual Reality). Besides, several data scientists believe that AR/VR solutions have a massive potential to radically transform the way enterprises interpret the data and interact with it. Data visualization is a graphical representation of data. It has become an integral and massive component in data science. Also, it offers visible and factual visuals as opposed to the raw data, providing a quick and better understanding of the information.

Get to know about the benefits of AR and VR in data science and also creates great opportunities and possibilities in the creative environment.

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New Era of DevOps: SecOps

SecOps is the effective collaboration between the Security and Operations teams offering best security practices for organizations to follow, a process to adhere, utilization of modern tools ensuring the security of the application environment. It enables organizations to supervise the analysis of security threats, incident management, security controls optimization, decreased security risks, and increased business efficiency. SecOps can be a social and transforming process for certain businesses demanding solutions for bigger security threats before the accomplishments of their objectives.

Take a look at benefits of devOps to know about how devOps is profitable and drive unimaginable business growth.

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Business Benefits of Leveraging DevOps

1.Quick Development Leads to Quick Execution

DevOps have three significant and key principles: Automation, Continuous Delivery, and Rapid Feedback Cycle. These principles create a nimble, dynamic, productive, and robust software development lifecycle.

2.Fewer Deployment Errors and Prompt Delivery

With DevOps, it is easy to execute a bulky level of codes in a relatively short period. Teams are enabled to share their feedback so that the errors are early recognized as well as solved early. This, however, results in shorter and robust software development cycles.

3.Enhanced Communication and Collaboration

DevOps promotes a growing work culture and intensifies productivity, it inspires teams to combine and innovate together. To improve business agility, DevOps creates an environment of mutual collaboration, communication, and integration across globally distributed teams in an organization.

4.Improved Productivity

Since DevOps is a continuous cycle, therefore it assures a quick development process along with minimal chances of errors. Efficient and seamless development, testing, and operational phases result in enhanced productivity and growth. Also, the cloud-based models significantly enhance the testing and operational stages in DevOps making it more robust and scalable.

Take a look at benefits of devOps to know about how devOps is profitable and drive unimaginable business growth.

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DevOps Cycle: The Six Fundamental Cs

Continuous Business Planning: The initial step in DevOps revolves around exploring potential avenues of productivity and growth in your business, highlighting the skillset and resources required.

Collaborative Development: This part involves drafting a development plan, programming required, and focusing on the architectural infrastructure as it the building block for an enterprise.

Continuous Testing: This stage increases the efficiency and speed of the development by leveraging the unit and integration testing. The payoff from continuous testing is well worth the effort.

Continuous Monitoring: Consistent monitoring maintains the quality of the process. Hence, this stage monitor changes and address the flaws & mistakes immediately, the moment they occur.

Continuous Release & Deployment: This step incorporates monitoring release and deployment procedures. Here, a constant CD pipeline will help in implementing code reviews and developer check-ins seamlessly. This step incorporates monitoring release and deployment procedures.

Collaborative Customer Feedback & Optimization: Customer feedbacks are always important as it helps organizations to make adjustment decisions and actions that can enhance the user experience. This stage enables an instant acknowledgment from the customers for your product and helps you implement the corrections accordingly.

Get to know about the continuous business planning in devops to support organizations in dealing with real-world industry.

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How DevOps is Propelling Business Growth

People often confuse DevOps with a tool or a team, rather it is a process or methodology that uses modern tools for improving the communication and collaboration between Development and the Operations teams and hence the term “DevOps”. Moreover, DevOps has come out of being just a buzzword, it is now covering the mainstream and has gained immense popularity at an extraordinary level forming an entirely new business world.

DevOps assists with both customer and business-level applications empowering digital transformation.

User-based applications demand variations and implementations based on the feedbacks in an agile timeframe. Also, business applications require exceptional performance and robust, automated development & deployment methods to stay in sync. with the consistently evolving market trends. Several organizations have started adopting the business version for ensuring the best strategies for enhancing the infrastructure and security measures. Speed is amazing until quality starts to degrade likewise quality is worthwhile only if the deliverables are reaching customers in a fleet and reasonable time frame. Hence organizations consider DevOps as the key component in software development as it bridges the gap between speed, efficiency, and quality.

Get to know about the continuous business planning in devops to support organizations in dealing with real-world industry.

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AgriTech Work

Delivering Innovation with Disruptive Technologies

Smart Farms

A modernized approach to help farmers achieve higher business.

2. RTI International

A centralized waste management platform to streamline resource.

3. TIO Homes

A scalable and interactive automation solution for modern homes.

Take a look at building products for agritech to know how it is profitable for agribusinesses.

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Core Capabilities

Farm Management

Traceability & Output Predictability

Standard package of practices

Alert Log & Management (pest infestation, diseases etc.)

Satellite and weather input based advisory

Crop reports & insights – easy reporting on-the-go

Geo tagging for accountability & accurate predictability

Adherence to Compliance & Certification

Record-Keeping

Crop rotation scenarios and profitability

Options for perennial crops

Pesticide record in one click

Get to know about the agritech solutions to boost efficiency and profitability of agribusinesses.

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Cultivating Ideas for Growth

The agricultural industry is witnessing a technological revolution and the old traditional practice has now been swapped with digital agriculture. By leveraging IoT sensors, software and services, we modernize the entire farming value chain, create effective systems and gain significant business benefits. We have specialization in innovative tech-oriented business models to drive massive ROI in the agriculture space.

Get to know about the agritech solutions to boost efficiency and profitability of agribusinesses.

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How to create Requirement Traceability Matrix – RTM?

Step 1: Our Test Case is Verify Login, when correct ID and Password is entered, it should login successfully”

Step 2: Identify the Technical Requirement that this test case is verifying. For our test case, the technical requirement is T94 is being verified.

Step 3: Note this Technical Requirement (T94) in the Test Case.

Step 4: Identify the Business Requirement for which this TR (Technical Requirement-T94) is defined.

Step 5: Note the BR (Business Requirement) in Test Case.

Step 6: Do above for all Test Cases. Later Extract the First 3 Columns from your Test Suite. RTM is Ready!

https://successive.tech/requirement-traceability-matrix-rtm/

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Types of Traceability Matrix

Forward traceability:

This matrix is used to check whether the project progresses in the desired direction and for the right product. It makes sure that each requirement is applied to the product and that each requirement is tested thoroughly. It maps requirements to test cases.

Backward or reverse traceability:

It is used to ensure whether the current product remains on the right track. The purpose behind this type of traceability is to verify that we are not expanding the scope of the project by adding code, design elements, test or other work that is not specified in the requirements. It maps test cases to requirements.

Bi-directional traceability (Forward+Backward):This traceability matrix ensures that all requirements are covered by the test cases. It analyzes the impact of a change in requirements affected by a defect in a work product and vice versa.

https://successive.tech/requirement-traceability-matrix-rtm/

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Specific Parameters in RTM

Some specific parameters in RTM to make it more efficient as follows :

Parameters of requirement traceability matrix:

Requirement ID

Risks

Requirement Type and Description

Trace to design specification

Unit test cases

Integration test cases

System test cases

User acceptance test cases

Trace to test script

https://successive.tech/requirement-traceability-matrix-rtm/

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What is the Requirement Traceability Matrix?

RTM captures all requirements proposed by the client or software development team and their traceability in a single document delivered at the conclusion of the life-cycle.

The main purpose of Requirement Traceability Matrix is to ensure that all test cases are covered so that no functionality should be missed while doing testing.

In Agile methodology we don’t prefer to have a requirement traceability matrix as it is having a fast paced work model and the turnaround time is shorter.

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What is a Traceability Matrix?

A traceability matrix is a type of document that creates a relation between two-baseline documents which will have many-to-many relation to check the completeness.

Main use of traceability matrix is requirement tracking and current project requirements are meeting or not.

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