Software Engineering Insights

With the rise of cyber attacks, every organization knows that cybercriminals are becoming smarter and more malicious. They also have more resources at their disposal and can better hide their traces and evade detection. Therefore, having anti-virus software or a firewall is no longer enough for your business data security. Modern businesses require advanced approaches to cybersecurity and one of the effective solutions that play a major role in reinforcing system security is Pentesting or Penetration testing.

Data is a valuable asset for any organization, and using a range of dependable data sources can help improve the reliability and accuracy of the data. Data sources provide a way to enrich a dataset with additional data, which ultimately enhances the CRM data quality.

Business scalability, accessibility, and cost efficiency are just some of the often-touted economic benefits of cloud computing. Furthermore, these benefits transcend economic turbulence to a great extent, simply by enabling businesses to access computing resources whenever they need them. It also explains why cloud computing is the fastest-growing computing model, with global revenues expected to reach $1 trillion by 2026.

Technologies have become the primary vehicle of progress, which is true. However, there’s also the flip side of the coin: early subpar technological choices, if left unpruned, can result in technical debt. It may even lead to higher development costs, long time-to-market, and reduced productivity. With so much at stake, managing technical debt should be a priority both for CTOs and software developers.

The digital revolution has brought disruption in every field and mental healthcare is no exception. COVID-19 has provided us with an opportunity to improve the access to healthcare services.

With the exponential growth of automation in organization architecture and processes, data quality becomes the key differentiator behind a successful sales strategy. The accuracy and quality of CRM data become pivotal for the sales team, be it for creating customer personas or generating revenue – the success of your sales strategies depends on data quality.

It is no surprise that sales leaders are striving to gain the most out of CRM data. But, without continuous maintenance of data, it can decay and become 'bad data' which can create multiple hindrances in the effective plan of action/ sales strategies. The bad data in your CRM refers to the 'wrong data’ which indicates missing, outdated, and incomplete data points.

Statistics show that customer data decays at a rapid rate of 30% and costs the average business 15% to 25% of revenue annually therefore, it is essential to cleanse and enrich your data sets in CRM. In fact, according to IBM, bad data costs US businesses $3 trillion every year. This mind-boggling factor is why data quality improvement should be every organization's primary concern.

Given that number, poor data can easily cripple your sales productivity, forecasting, and ultimately your business growth and revenue. On the other hand, high-quality data empowers sales reps to make decisions that will positively impact the success of an organization, improve its practices, and increase profits.

If bad data isn't detected and fixed on time, it can create many hurdles for your sales team. It will hinder the outbound sales process and waste a lot of time and effort. As a result, it will cause operational inefficiencies and unnecessary costs, and also impact your customer experience.

This blog will uncover how bad data affects businesses and why we should enrich it.

The proliferation of digital transformation has made system reliability an essential component of any organization's bottom line. These rapid changes have become a new benchmark for success and efficient incident response is key in sustaining site reliability through these changes.

With the continuous development in DevOps practice and its unparalleled benefits, now every organization wants to embed it in their software development lifecycle to make the deployment of software even faster and more efficient.

Technology is embedded in every aspect of our lives. We rely on it for almost everything, especially to communicate with others. Simply, take the example of Siri or Alexa that we use in our day-to-day lives. Ever wondered how these virtual assistants understand and interpret our commands? How do they pick up terms and carry out the tasks according to our instructions? For example, when we ask Alexa to set an alarm for us.

We are living in an information-driven era. Millions of bytes of data get generated every second, and it becomes more challenging for organizations to keep vital information, software, and operating systems up and running on conventional in-house servers. That’s where cloud computing services come into play.