Align Your Data Assets to the Pace of Business

Radixweb leverages data to craft intuitive solutions powered by analytics, effectively upping the ante for hyper-aligned data implementation and data engineering to match the pace of business.

“Data has seen a massive upsurge in value and in relevance over the past couple of years,” states Mr. Dharmesh Acharya, COO at Radixweb, a world leader in custom software development. “From an asset that could offer businesses insights into how the minds and purchase decisions of their customers worked to the primary component for creating new streams of revenue, Data has come a long way. We now leverage our enhanced capabilities in data AI and ML to deliver tech solutions that feel close to the ruminations of an imaginative, if technologically bent mind.”

Mr. Acharya adds, “At Radixweb, we create AI and data powered ecosystems for our clients ever since the data boom of the early 2000s. As data monetization increased, data implementation did so too and building technology fueled by data is something we have a penchant for. At Radixweb we focus on building an intricate yet robust ecosystem which is not only sustainable but also adds value to our clients by addressing their core needs.”

A well-known name in the arena of IT, tech, software development outsourcing and DevOps, Radixweb has paved the path for the direction and momentum data has gained over the past couple of years. Data analytics and its product, acquired intelligence, has facilitated digital transformation for multiple clients resulting in a massive upsurge in their ROI as well as retention rates. As a tech partner Radixweb has and continues to build insight-driven, decisive tech assets that leverage modern analytics platforms and traditional ETL tools with equal aplomb.

Mr. Acharya goes on to speak about how Radixweb has recognized the need for highly performant ETL and BI tools to accelerate business outcomes. These are the three primary considerations I keep in mind while deploying my team’s data capabilities.

1. Prioritize First-party Data

The age of third-party data is now long lost in yesterday. Every organization today is a data generator in its own right and with the right focus, it can be deployed to understand customer preferences, purchase patterns and even influence repeat engagement. First party data can help not only in forecasting trends but also optimizing a product until it fits perfectly into the crevice of the customer’s need gap.

2. Determine Your Data Mission

Goals vary across enterprises. What might perfectly for one business entity might spell a certain doom for another. Crafting a clear walkthrough, with pre-defined checkpoints can result in transformational change enhancing client retention, reducing costs, service improvements and an augmentation of streamlined biz ops.

3. Build a Clean Data Infrastructure

AI and Machine learning are powerful tools but they too have limitations. These limitations largely depend on the quantity and the quality of available data. Building a powerful data infrastructure is therefore an imperative. The move from BI to advanced analytics is not easy but with the right partner, it is definitely possible. A few things to be maintained in this regard are:

• One must have a grassroots level of data acquisition, analysis and implementation skills to reap the benefits this resource has to offer.
• Move away from Impulsive decisions built on short-sightedness and deliver solutions that integrate granular level data integration into every level of business transformation strategy.
• Entering the market ‘all guns blazing’ is not always a good idea. Extensive testing in controlled environments, as well as open-world beta tests, are a necessity given the integral and essential nature of feedback.
• Data-governance concerns like storage, access, and deployment are quintessential to optimal data utilization.
• Data Sanitization is yet another imperative before it enters the business machine with standardized data storage, taxonomy and dictionary compliance being duly observed and implemented across hierarchies.

As a company that upholds the human element just as high as tech capabilities, Radixweb is all about leveraging the power of data across organizational levels where everyone comprehends and appreciates its necessity and its returns.