Raksha Swami

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2026-07-21 10:48:38 -

Why Businesses Need a Unified Approach to Entity Resolution
Global enterprises maintain huge volumes of data. They have multiple regional offices, factories, distributors, and suppliers. However, they must be wary of silos. A unified entity resolution strategy can help them establish a clear connection between customer, product, and vendor information despite their scale. At the same time, avoiding conflicts due to departmental or on-premise data...

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2026-07-02 07:52:10 -

How Restaurant Brands Are Using Analytics to Improve Customer Experience
The restaurant industry in 2026 must master the art of balancing, as both inflation and economic uncertainty have affected diners. They seek personalization, but cost-consciousness is also a major factor. Therefore, enhancing customer experience (CX) necessitates restaurant-specific analytical models and data validation. This post will discuss the role of restaurant analytics in CX...

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2026-06-10 08:56:54 -

Inside the Consumer’s Mind: The Power of Deep Research
Modern corporations must continuously and tirelessly handle massive data volumes. Still, making sense of raw numbers from a business development perspective often confuses corporate executives. Today, true market leadership has become a daydream for those who fail at embracing deep cognitive tracking. This post will highlight the role of qualitative research in consumer behavior in corporate...

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2026-06-04 11:31:41 -

Why More Companies Are Turning to Outsourced Research for Competitive Advantage
For businesses today, there’s no longer any excuse for making decisions based solely on assumptions; the speed of market changes means businesses need accurate information fast. Additionally, technologies that disrupt entire industries can create new competitors almost overnight, so companies must stay ahead of their competition by utilizing research. Therefore, more companies see...

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2026-06-01 14:09:51 -

The Importance of Enterprise Data Services and Solutions
Uncertain macroeconomic conditions and turbulent geopolitical dynamics impact businesses. In this volatile situation, the leadership requires objective perspectives with robust risk estimation capabilities. That is where distinct data operations come to the corporate world’s aid. This post will highlight the importance and benefits of enterprise data services and solutions. Importance of...

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2026-05-26 11:55:37 -

How Businesses Are Using Advanced Analytics for Risk Mitigation
Risk is always there, waiting to break things, cause losses, and create productivity gaps. However, poor risk management is not as inevitable. Yes, solutions such as advanced and predictive analytics are now available. So, organizations across industries now use them to identify, quantify, and mitigate risks. They can do that before unfavorable outcomes materialize. This post will highlight the...

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2026-05-20 05:39:56 -

Why Financial Institutions Are Investing in Advanced Analytics
Financial institutions create, capture, and consolidate extensive data that the world has to offer. Human interactions, industrial activities, government policies, and natural impacts also offer too many variables for cross-verification. So, the key question is how to get the most value out of data-centric processes. This post will outline where advanced analytics comes into play to save the...

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2026-05-15 06:03:59 -

Why DataOps is the Backbone of Scalable Data Infrastructure
What do you think happens when data pipelines break? Yes, models just keep drifting. Nobody wants that. Additionally, dashboards go stale. By the way, none of these are hypothetical risks. They are daily realities for data teams worldwide that manage complex infrastructure. Thankfully, DataOps has emerged as the discipline that will make solving those problems less overwhelming and more...

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2026-04-30 09:25:59 -

The Hidden Cost of Poor Data Quality on Business Performance
In today’s business environment, where everything is driven by data, organizations use data extensively for decision-making, operational efficiency, and improving customer experience. Data is often regarded as an asset, yet its true value cannot be achieved without accuracy, completeness, and reliability. The significance of data quality often gets overlooked, resulting in significant...

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