Development and testing walk side by side in any organization, and will also work apart in some scenarios. The use of Independent software testing companies today is huge as they play a vital role and carry immense technological understanding and are solely dedicated to testing different types of software applications thoroughly. You can choose custom made software testing services and solution offerings which allow various companies to get a break from testing activities and focus more on other business areas.

Many businesses now rely on software applications and software development companies which projected to provide fully functional, high performance based and secured software applications. If these factors are omitted, then it could lead to the heavy loss for the businesses. Before the product or the software is ready to release the development team needs to filter the product through many phases and ensure that the application or software is moved to testing, this helps the development teams to find all the minor and major bugs before they release the product and help them to realize the pre-development issues and post development issues that always leads to close down the task before it goes out the market.  

The testing phase is essential for any application or software. If it is not performed properly, then it will not only effect the pre-developed applications, but complete software development life cycle, due to this the product / applications might not come out with the quality expected. This is the practice companies perform testing of their software applications just before they are released to the market. This can be terrible as testing in the last stages as on the things to see will be with of many defects which could be functional or nonfunctional. The major purpose of testing is to make sure that software applications work accurately and meet user prospect. The development companies that work on multiple projects might face difficulties in testing for each assignment due to lack of required time. If they want to perform testing in-house, the management might need to maintain multiple teams to handle testing projects which can be costly.

These companies might also face challenges in finding the suitable testing tool for the project, and even face difficulties in finding accurate testers who carry knowledge on current tools than the existing testers have. To maintain development and testing activities is a huge challenge. The Independent software testing service providers’ help vendors to have a better choice for the software development companies that want to get free from testing activities and achieve quality service for their money. These vendors offer only software testing services, and more to it they are able to provide preferred testing services for different applications, where as some vendors also offer software testing services and solutions that provide flexibility and competence for the testing seeking companies. On average, these vendors connect a pool of capable testers who have deeper expertise in the relevant projects, identify right tools for the project and adhere to deadlines. Most independent software testing vendors are equipped with capabilities like best practices, robust test management, effective test execution, monitoring, global delivery, and 24/7 support. This will help a software development company accelerate time to market.

Two development firms in Big data and Analytics space; DATA -Tableau and Hortonworks saw a critical time when their data released missed the forecast by 0.05$, and dropped their stock by five percent.  This is what going frequently with companies and no one has any clue on what is going on with BI business Intelligent and Hadoop space. Should companies run from BI and Big data space before it completely collapses?

Instead of focusing on the sensational headlines; the investors and technology corporate leaders should also focus on the missed forecasts as they leave some clue on some important analysis and trends which will help them to grow. 

While the companies need to look at their results in the context of the industry as a whole; which will show the exact results as per the worldwide analysis. As per the Gartner’s analysis for worldwide dollar-valued IT; it says that IT spending has grown in 2016 at a flat percent of 0.0. However, 35% of growth is fairly incomparable by this benchmark, and if we look at Hortonworks’ results for this gone quarter: then the total revenue grew by 46% year over a year. 

This means, the Investors’ expectations are growing high and even they are tough to manage. To manage this kind of issues the industry observers and technology buyers should standardize the performance of both organizations against the rest of the industry before they make a knowledgeable conclusion.

As per recent survey —Teradata also reported revenue and its business shrink by 4% Year over a year. Leaving other things remaining equal, the analysis says that Hortonworks could generate more revenue than Teradata by 2020.

Let’s look on some of the data analysis pitfalls you should avoid before you are sucked in.

Confirmation Preference

If you have a proposed explanation in your mind; but you are only looking for the data patterns that support it and ignore all data points that reject It. Then let us see what will happen.

First, analyze the results of that particular patterns performed well and find the conversion rate on the landing page. This will help you to really perform high than the average you think. By doing or following such analysis you can use that as the sole data point to prove your explanation. While, completely ignoring the fact of those leads will qualify or the traffic to the landing page will be sub-par.

There is again a thumb rule which is very important to remember, you should never approach data exploration with a precise conclusion in mind; as most of the professional data analysis methods are built in a way that you can try them before you actually go and reject your proposed explanation without proving it or to reject it to the void. 

Correlation Vs Cause

Combining the cause of a fact with correlation somewhat will not show any action. While, when one action causes another, then they are most certainly correlated. However, just because two things occur together doesn’t mean that one caused the other, even when it seems to make some sense.  

You might find a high positive association between high website traffic and high revenue; however, it doesn’t mean that high website traffic will be the only cause for high revenue. There might be an indirect or a common cause to both that may help to generate high revenue more likely to occur when high website traffic occurs.

For example, if you find a high association between the number of leads and number of opportunities from a classic B2B data quest, then you might gather a high volume of leads with a high number of opportunities.

Here are some more things that you need to watch when doing data analysis:   

•    Do not compare unrelated data sets or data points and conclude relationships or similarities.

•    Analyze incomplete or “poor” data sets and make proper decisions based on the final analysis of that data.

•     Do not analyze the data sets without considering other data points that might be critical for the analysis.

•    The act of grouping data points collectively and treating them as one. Which means, looking at various visits to your website and creating unique visits and total visits as one and inflating the actual number of visitors and converting it to the best conversion rate.

•    Do not ignore any simple mistakes and oversights which may happen anytime.

Challenge

Corporate leaders recognize that market growth is dependent on customer-centric service delivery models which demand rapid delivery of high-quality software systems. However, there are no specific theories to measure the readiness of the organizations to adopt DevOps culture. Today’s customer has become smart, and Organizations are changing their stance for faster application delivery to live up to the customer expectations. But, organizations encountering with operations, process, and development, will in turn heap up challenges in terms of aligning with governance and strategy.        

Assessing success in a business context is acute, but because DevOps isn’t a formal framework, organizations can still have little way of guidance to assess its efficiency. But this can be a little delicate activity when organizations try to measure systems which are output-based or used on some metrics or methods that incentivize behaviors counter to a DevOps culture.       

Why DevOps?

So far it was assumed that DevOps isn’t easy and it can be a struggle to manage and implement it productively. Today there are several approaches made it easy for the organizations that are looking towards adopting DevOps. Through DevOps Assessments Program Organizations can identify, manage, and implement DevOps principles productively.  DevOps has demonstrated serious effectiveness for accelerating software development and rationalizing the interaction of operations and quality assurance (QA) departments. DevOps imposes demands that every organization needs to be ready to address.    

Opportunity

When adopting DevOps, organizations should consider new approaches identifying and implementing DevOps assessment program. Since DevOps is all about building a robust culture to enhance IT service deliveries, this will include deliberation for actionable metrics that are open, transparent and promote collaboration. DevOps is undoubtedly an extension of agile and lean principles. It is a revolution resulting in an evolution of agile that extends the practice of agile development for speedy delivery. From the formation of ideas or concepts to production and overcome the obstacles of the walls between operations, development, and business via co-operation & collaboration practices.    

Let us look at some assessments which help organization for DevOps Transformation

Assessment I: Does DevOps bring value to the business? 

Implementing DevOps practices will certainly bring value to the businesses as this can be a buying point where organizations are leaning towards implementation of DevOps. This is because the software development cycles take years of coding and testing before releasing their product and requires a lot of resources to bring the required output of a product. But, what if when sales are not guaranteed and issues such as defects and bugs are raised once the product is out. Such issues will definitely hit the success of the product and ROI.  This is where the implementation of DevOps principles can answer to the above-mentioned issues.

Assessment II: Is IT flexible enough to support DevOps?

When DevOps is included to a new development cycle, it works differently and supports the developers and Quality departments and drives the resources on a much faster schedule to test and support each new release. To make sure the process runs all smooth, IT Companies must install the latest versions of software releases on one or multiple servers in the data or cloud centers, and interconnecting storage, performance monitoring, supporting databases, and other resources.

The IT corporations should thoroughly evaluate the application requirements, and approve the infrastructure and servers, and perform the deployment for the approved product. Such firm processes work well when the organization's staff works on occasional software releases.

Assessment III: Is the company large enough for DevOps?

To implement DevOps principles an organization should be capable enough to support the processes, tools, and the resources to keep DevOps productive. Balancing the resources and demands of the project can be difficult for small businesses at the initial point. However, Small businesses can often outsource the application development or invest in applications like Salesforce rather than in-house CRM package.

Organizations with 50 to 250 may not be able to adopt DevOps principles. Whereas, Organizations with more than 1,000 employees may have more advantages.

Assessment IV: Knowing Organization’s DevOps strategy?

DevOps is a mix of people, tools, and processes. It is not an exercise or an event to implement it successfully with one software, tool or a plan taken out from a book.   

With a comprehensive DevOps assessment and supporting tools, organizations adopting DevOps can:

• Quickly measure and establish clear business terms with effective DevOps processes like continuous delivery and parallel development methods

• Support cross-functional teams around business value conception and continuous development

• identify capacity gaps and initiate the remediation policies to achieve targets and goals

• Eliminate existing practices that counter a strong DevOps culture to prevent the flow value to the businesses and customers

Conclusion

Every company has its own approach towards adopting DevOps and implementing.  Adjusting and adapting the people, tools and processes to meet the organization's unique goals is the main aim to adopt DevOps. In this process of adopting DevOps, hiring developers who are familiar with DevOps workflows & cycles, organize IT staff capable of accommodating dynamic release schedules, implementing a suite of tools facilitate collaboration between developers, QA, and IT and applying strong business management that can drive DevOps adoption.

Today’s corporates often evaluate DevOps potential and insert it by slow degrees, developing proficiency and skills with teams working on small and less prioritized projects. Then they steadily involve these skills and tools to work on critical projects over time to bring the overall success of the product or software.