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Data Square has been recognized by CIO Applications Magazine as the exclusive recipient of “Top 10 MarTech Solution Companies - 2022,” based on our proprietary methodology, reflecting its position in the industry, and is also named among “,” reflecting its broader leadership. This profile has been developed by the CIO Applications research and editorial team based on insights from an interview with Dr. Devyani Sadh, CEO and Chief Data Officer.
Dr. Devyani Sadh, CEO and Chief Data Officer“Incorporating actionable insights from data is both science and art, and requires a quadruple skill set,” says Devyani Sadh, CEO and chief data officer at Data Square. A combined understanding of marketing, analytics, data management, and IT is a key differentiator. Data Square has built an integrated marketing platform, CRM Square, to synergistically tackle the natural intersection between these domains. CRM Square is a campaign and email automation tool that sits on top of a managed customer data platform (CDP) powered by BI, AI, and predictive analytics.
Data Square’s vision is to streamline businesses’ omnichannel marketing campaigns with strategy powered by a fusion of database, advanced analytics, and decision support technology for email and campaign management. The CRM Square solution is a physical representation of that vision.
CRM Square—Squaring up the Data Gap
The core of CRM Square is a platform layer that connects various functional areas and systems through pre-built applications, API connections, and custom configurations. This layer serves as the hub of the technology ecosystem, with data at the epicenter. It cleanses, transforms, and unifies large volumes of heterogeneous data traveling in real-time to enable value and insight generation.

“A combination of human intelligence and AI methodologies are used for developing identity resolution, source prioritization, and surviving record logic. Additionally, CRM Square includes value-based enrichment options with third-party data to create a 360-degree view of the customer and support downstream customer journeys. It successfully addresses the 5 Vs of Big Data—Velocity, Volume, Variety, Veracity, and Value,” says Sadh.
The Report and Analytics modules of CRM Square help generate insights and predictions needed for targeting, personalization, and segmentation. The Campaign module leverages the insights-driven contact strategy and analytically optimized audience selection, messaging, and touch sequences developed by the other modules.
“Incorporating actionable insights from data is both science and art, and requires a quadruple skill set”
While Data Square’s solutions have a track record of success across a wide range of metrics and verticals, a recent example of CRM Square’s efficacy is an integrated marketing campaign that used email, direct mail, and phone. Direct mail and phone, with static targeting and segmentation, typically yield good ROI, but are expensive channels. To add value, Data Square went a step further. First, real-time data from email clicks were used as interest indicators, along with other attributes within a predictive model. Next, dynamic model scoring was utilized to identify and triage contacts for a call, direct mail, or second email with a personalized message. The intersection of three channels, predictive analytics, dynamic model scoring, marketing automation, and real-time campaign evaluation capabilities, resulted in phenomenal double-digit gains in response rates compared to a control group.
The Human Touch Always Matters
Although CRM Square is designed to work as an independent unit, Data Square has ensured that each component can be used on a standalone basis to accommodate variations in organizational maturity levels, needs, and tech adoption readiness. Over two decades of client engagements have helped the company understand that the platform alone is insufficient to realize success. Optimized implementations require a fusion of people, processes, and technology. That’s why, for years, the company has successfully used a solution-based approach that combines executive-level consulting, software, and services to address the challenges individually and in tandem.
“We prioritize human intelligence over AI and strategy over technology while focusing on a select group of clients versus a factory-based approach. Although our platform has multiple components, it can be used à la carte and is fully customizable based on needs and budget. We place integrity and ethics before profit and believe in the notion of partnership, whether it is with our clients, their customers, or other service providers in the same space,” says Sadh.
Going beyond creating advocacy for the responsible utilization of data, Data Square recently launched a new release of its customized platform, CRM Square NFP, as part of the Data for Good initiative. Its goal is to empower nonprofits and socially conscious organizations to reach their missions by harnessing the full potential of data, analytics, and martech.
“This is a passion project in which I’m personally involved, and we are actively seeking partnerships with organizations working for the greater good,” states Sadh.
Clients at the Center of the Data Square System
Rather than fitting off-the-shelf solutions, Data Square typically leads with a consulting approach to identify gaps and opportunities within an organization’s technology and data ecosystem. Clients’ martech and analytics maturity levels along with their readiness to incorporate new components will generally lead the way.
We prioritize human intelligence over AI and strategy over technology while focusing on a select group of clients versus a factory-based approach

Additionally, Data Square is actively involved in enhancing the AI and machine learning algorithms that feed customer journey orchestrations while adding integrations with valueadd partners. These initiatives will make the CRM Square solution even more robust and equipped to meet the evolving needs of the Analytics and Martech sectors.
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