Archna Oberoi

Content strategist by profession and blogger by passion, Archna is avid about updating herself with the freshest dose of technology and sharing them with the readers. Stay tuned here as she brings some trending stories from the tech-territory of mobile and web.

Recent Posts

7 FinOps Challenges around Cloud Cost Optimization

By Archna Oberoi on Nov 10, 2022 12:37:38 PM

As software development gets complex, we see cross-functional teams collaborating to enable faster product delivery, optimize cost, manage infrastructure, and for several business benefits. An example of such a joint effort is ‘Cloud FinOps’ wherein finance, engineering, technology, and business teams aim at cloud financial management. 

Topics: DevOps CloudOps
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Salesforce for Marketing: How to Create Personalized Campaigns using CRM Data

By Archna Oberoi on Oct 19, 2022 1:39:08 PM

Personalized marketing campaigns are proven to drive performance and better customer outcomes. A Mckinsey report says that customers expect businesses they buy from to recognize them as individuals and their interests. 

Topics: Salesforce
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Key Marketing Metrics for CMOs using Salesforce Marketing Cloud

By Archna Oberoi on Sep 28, 2022 11:49:15 AM

More than ever, marketers realize the importance of tracking metrics to measure the performance of their campaigns. These values give an idea of how aligned the marketing efforts are with the business goals, be it customer experience, acquisition, lifetime value, or brand awareness. 

Topics: Salesforce
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What is Patient Satisfaction in Healthcare and How to Measure it?

By Archna Oberoi on Sep 5, 2022 6:46:00 PM

With healthcare organizations (HCOs) shifting toward patient-centered care, it is important to consider and measure the factors that impact or influence the quality of care. That is why, HCOs value patient satisfaction, as much as they value patient safety and clinical workflow improvements. 

Topics: Healthcare
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The Role of MLOps in AI Application Development

By Archna Oberoi on Aug 23, 2022 6:41:00 PM

Machine Learning (ML) is an application of Artificial Intelligence that has the maximum number of use cases, in almost every industry. Healthcare, automobile, marketing, finance, agriculture, retail- all of them are leveraging the power of ML to automate tasks and bring agility to operations. 

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Multi-Cloud Management: Challenges, Tools, and Best Practices

By Archna Oberoi on Aug 16, 2022 5:19:00 PM

Migrating to the cloud is the new normal for businesses of all sizes. Based on availability, compliance, performance, sovereignty, and other technical factors, businesses are making a choice for a relevant cloud services provider. 

Topics: CloudOps
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Software Testing Services: Understanding User Acceptance Testing (UAT)

By Archna Oberoi on Aug 9, 2022 3:50:00 PM

In an SDLC, there are several testing frameworks that help to assess if the application is progressing in the right direction. It could be in terms of usability, security, compatibility, performance, integrations, etc.

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Clinical BI: Business Intelligence for Value-Based Healthcare System

By Archna Oberoi on Jul 11, 2022 6:51:00 PM

Value-based care is the new normal in the healthcare industry. 

Healthcare stakeholders- patients, providers, payers, and suppliers are realizing the benefits of value-based care, and adopting it has become their major goal.

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How Salesforce Customization Services Boost Business Efficiency and Performance

By Archna Oberoi on Jul 5, 2022 12:22:00 PM

With a diverse portfolio of 15,00,000 companies, Salesforce has been holding strong in the cloud CRM market. The platform's uniqueness in reporting, visual data presentation, enhanced efficiency with automation, proactive service, etc. is some of the reasons why the CRM holds 20% of the overall market share in the domain. 

Topics: Salesforce
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What is AppSec? Tools, Process, and Benefits

By Archna Oberoi on Jun 27, 2022 5:56:00 PM

Vulnerabilities in software applications are common. 85% of security incidents happen at the application layer. With the right security measures, the operations and development team can discover these vulnerabilities and fix them at an early stage in an SDLC. 

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