Software Engineering Insights

The current IT landscape necessitates faster development and delivery of software products as well as better collaboration between IT and operations teams. While DevOps offers the exact methodology for this, its implementation for the full automation of the software deployment pipeline requires optimal management of the processes and resources involved.

Drupal is amongst the most popular, open-source content management platforms. It has established itself in the market and has been growing since its launch. Community support for Drupal has made great strides and is always on track to stay up to date with the latest technology integrations. 

Customer Relationship Management (CRM) is a tool that serves as the single source of truth for all your organizational data while enabling sales teams to drive better performance. Bad CRM data, if utilized for your business initiatives, can cost your organization severely in terms of client relationships, loss of the market base, and ultimately, sales revenue.

Businesses are shifting their IT infrastructure to the cloud for the certain benefits that this new era of computing has. While cost, compliance, and performance are some of the obvious reasons for the change, a large share of the business community has failed to realize these gains. 

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.

Your organization's sales team deals with large stores of data around customers and prospects captured in your Customer Relationship Management (CRM) system. Say your customer changes their role in their organization, their contact details, or other aspects of their profile - their data in your CRM can become stale if not updated and enriched periodically.

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.

Customer experience is a core focus area for businesses today. The perception of your brand or organization is an essential differentiator to achieving ideal outcomes in today's customer-centric business landscape. Accordingly, only with Customer Relationship Management (CRM) software that ensures efficient Customer Experience Management (CXM) can you build a brand or enterprise holistically.

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.