Quality maintenance in Software and Web industries with RCA & CAPA

Root Cause

A root cause is a factor that causes a non-conformance or deviation from a defined path and should be permanently eliminated through process improvement and analysis. Root Cause Analysis (RCA) is a tool to help identify what, how and why an event has occurred so that proper steps can be taken to prevent future occurrence.

RC can also be to target opportunities for system improvement. It can be attested that root causes are specific underlying causes that can be reasonably located and are mostly management’s control to amend and it helps generate effective recommendations to prevent recurrences.

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Courtesy: http://www.mastercontrol.com/

RC Analysis process involves data collection, causal factor charting, root cause identification, recommendation generation etc.

Resolving a quality problem could be done with correction, correction action or preventive action! These actions under regulations also require proper identification, documentation, evaluation.

Correction: is a type of action, correction is a change that makes something right, true, accurate or better. It is also defined as an action taken to eliminate a detected nonconformity.

Correction Action: is action taken to eliminate the causes of a detected nonconformity or quality problem. The deemed action is intended to eliminate the recurrence of a quality problem that has occurred. Post applying correction actions to confirm the issues is not being faced again. This is called verification of effectiveness, which manifests that the actions have addressed the root causes of the problem to reduce or eliminate their effect, depending on the goal of the CAPA.

Preventive Action: is action taken to avoid occurrence of a potential issue.

What action is being taken to amend the issue is of utmost importance in ensuring safe and effective products.

RC & CAPA is a team effort that should be address properly in most of the cases. Leaving the same unaddressed may worsen the issue(s) and later may require lots of description and time digging up the bugs and relevant parts that has been impacted.

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Next Generation Sequencing (NGS)- breaking the human genome code

So far now, it has become possible to sequence anyone’s genome cheaper and quickly with the help of latest technologies. Researchers have started gaining much into discovering the meaning of individual genomes. Though still the sequencing has not come down to an affordable price but has been sponsored mostly by the stake holders of the research projects to get into the main stream of the genomics worlds. And it has been highlighted that the individual genome sequencing would help track the rare deformities and anomalies in the gene line of human and can be engineered to treat or suppress the genes responsible for the cause.

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Concerns over the repository of the genome sequences:

  • If the genome is sequenced, who should access this?
  • How securely the sequences can be stored away from snooping?
  • How the national database should be made?
  • Would it be easy to handle fastest growing data of sequences?
  • Would this be easy to make available centrally for right access?

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Technologies that is killing the password system!

Positioning human body as a recognition tool is the current leading way of identification at every ground now. Alphanumeric and other sort of randomly generated passwords are on the verge of losing ground now. How Apple started the use of fingerprint identification in gadgets, like that now every electronic gadget would let the initiation post biometric identification to avoid any interference.

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Increasing trend in the technology has made process easy and quite fast, no doubt but changes always comes with bunch of challenges that growing technology is facing in terms of maintaining data integrity, backup of the data, analysis of the data etc.

Cryptography does help in tackling the problem upto a great extent. If there is a way to encrypt data, there is always a way to decrypt the same using other platforms and code. This growing and multiplying technology has both pros and cons. Both ends need equal attention to manage the process.

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Crowd Testing (TaaS) taking over the internal testing for better results of the software and web products

The power of crowd testing has reduced the issues and failures to a significant extent in software and sites when released in live environment. With the increase in the rise of technology and platforms, testing of the products have been replaced with crowd testers rather than various level of internal testing, that takes time and sucks most of the time in documentation. In many instances these level of testing reduces the final touch by the internal team and that further leads to the blunders and failures at later stages.

Crowd testing helps in pouring more ideas, conclusions and refining the content and helps in achieving the overall intended goal of the development. Harmonization among team members can really help develop a great product.

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Internet and mobile devices have acted as catalysts and have triggered a chain reaction also the effectiveness and ROI has increased to many folds. Well managed testing helps in validating that the final product meets the targeted quality standard. Crowd testing has become a broad and effective means of ensuring that all the bases are covered.

This way, offering Testing as a service (TaaS) on cloud is a good choice for many software firms. Crowd testing has become synonymous with community testing. It is fast growing sector for testing with flexibility, instantaneity and real world multiplatform testing.

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Crowd testing also helps in forming competition hubs, platform for idea generation, service option, and content refinement.

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How CLOUD Computing has ruled in Data Transfer with SaaS, IaaS & PaaS Solutions

Data collection, Data transfer in IT industries and Healthcare Sectors and Telco made easy…
Gone are those when calculations and data transfer and retrieval were the issues. Software automation and control has helped in a way, where the data has generated beyond imagination. Once data started generating, it came into consideration that the data or result should be in such a format that can be imported to other software for analysis and graphical presentation.

To manage the challenge of data integrity and compatibility, file conversion and multiple export options came into evolution and solved the issue. Now when we have various formats, it needs to read by the software either using the software in local machine or else accessing the same on cloud at some other location. Here this cloud technology has given a platform, where huge chunk of data like of DNA sequences, Terabytes of values can be analyzed and represented in a required format. Cloud has helped linking multiple data generating centers to connect and store their generated data at once central location, storing and accessing has become easier.

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Using software on cloud has many advantages:

  • Can be less expensive compared to buying soft we and hardwires
  • Can be used from any of the computer or device with an internet connection
  • No need of large internal storage system
  • Updates occurs across the service
  • Self service provisioning
  • Elasticity
  • Pay as per the use

It does have loopholes too!

  • Many security issues
  • Terms and conditions of services
  • Privacy policies
  • Data leakage issues

Cloud services

Platform as a Service (PaaS): This is a way to rent hardware, operating systems, secured storage and network capacity over the internet. Where the service delivery model allows the customer to rent virtualized services using the services for running applications.
Infrastructure as a Service (IaaS): is a provision model where an organization outsources the equipment used to support operations, storage, hardware, servers and networking components. Client pays on the agreed basis and service provider owns the equipment and manages housing, running and maintaining of the same.

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How learning Bigdata concept has helped industries handle huge datasets

Bigdata concept like Hadoop, Hive, Pig, Hbase, Sqoop, Mahout, Yarn etc. has helped manage analyzing huge chunks of data from various sources.

What is big data?

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There is nothing new about the impression of big data that is in talk since at least 2001 and has evolved to many folds. In a nutshell, Bigdata is nothing but your data or any company’s own data. It is the information owned by the company obtained and processed by new techniques to produce values. Any bigdata expert would define this using three V’s i.e. Volume, Velocity and Variety and this concept was proposed was Doug Laney to thrown light into the challenges of data management. In the year 2013, Mark Van Rijmenam titled why the 3 V’s are not sufficient to describe big data and he added more V’s i.e. Veracity, Variability, Visualization and Value to the definition.

If we talk about the generation of the data in a huge amount followed up with management and structuring was created in the past three years. And it is not false to say, that the amount of data in the world will continue to double or keep on increasing many times.

What companies are doing to make best use of information?

Bigdata constitutes significant information that may help pave new business or opportunities to serve the population. It helps corporate in making decision and taking further steps into their business and endeavors. And it has become really necessary to have statistical figures on the desk of managers to risk money in new start up. Bigdata has indeed being called trendsetter in the business of data management, analysis and storing and retrieval.

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SOFTWARE – Quality Management – An amalgamation of all systematic series of activities & processes

Computers and Software are omnipresent. In most of the cases computer technology is implanted and we don’t even imagine where and how we are utilizing those technologies in day to day life. But we are doing it every bit of time. Our day to day activities are almost dependent on software and gadgets. We might admit the same or not! but really software and technology is governing our world and society. This trend would not change and would continue impart values in our society and system and this will go on with research and development to get improvement at every step.

Key reason behind the change!

The ever growing and evolving trend has ofcourse made many things so easy that productivity and quality has leaped to highest point of satisfaction. But sooner or later system is going to get disrupt and disease would spread, security would reduce and this all would disintegrate the society and system.

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Control over the management of the entire system and the concept of embedding technology at every step is of utmost importance to take things ahead in a right way. It is highly important to make sure that the system and software should run as proposed. A single loop hole can make the entire development suck in giving the expected result.  A right quality of the software can help us stay in control and productive in a positive way.

Software Quality is the discipline that ensures that software that are being developed, deployed and used bears the right quality. It must be noted that flowing with the speed and technology should not be the point of concern when we are developing something, but should think in an ethical way too, it should not harm the society and should not lead to an imagined output that might put something in dangerous situation.

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WorkForce Redefined – Collaboration at Healthcare sector and Information Technology level

As the digital revolution gains momentum, doctors, scientists, life sciences and people from different walks of life and other professionals are using machines to be more efficient, powerful, trust worthy and these machines are often now used for getting better decisions and to take on complex tasks.

How machines have gained trust over manual work and efficiency

Augmented devices providing more portability, insights, platform to provide and make available on clicks the huge database of contextual information and research outputs from various industries. Such grounds on cloud facility has indeed helped market research professionals and companies, doctors, scientists, clinical trial process during the entire process. It has helped people from all over the world to click share and connect for advice in quick time to take decisions.

Training of people on machines and technology are equally important

This bullish trend of digitization and evolution of machines into the mainstream of industries from scratch to the end has made this necessary for their people to have adequate knowledge of computer and machines in terms of operating and maintenance of the same.

Life Sciences industries increasing the scope of operations

This growing trend illustrates that how life sciences companies must and should embrace digital way to go beyond the imagination with the goal of meeting the need of society.

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You don’t need to compete, if you are aligned to highest work ethics!

Integrity – Integrity encompasses most of the employee’s job role. Integrity among peers brings trust among coworkers, manages, supervisors and clients. Team work and trusting on each other’s ability would always bring positive feedback.

Sense of responsibility – When one personally feels the responsibility for the work. Best efforts and ability to complete the projects comes along.

Dedication – This defines the ability to perform tasks with strong dedication and with utmost interest to meet the deadlines. This even takes extra efforts and does falls beyond deadlines, but meeting the goals can be attested well in most of the scenarios.

Cooperation – Work in cooperation is highly beneficial in business decorum. A person who likes to work in team knows the gravity of team practices in accomplishing over all goals in day to day life and in business of course.

Accountability – This habit really plays a big role in avoiding blunders in workplace. Admitting for the failures can always be taken as a learning experience in personal life. In fact team step to the fore in support instead of blaming.