In the modern enterprise landscape, data has transitioned from an optional asset to the very core of strategic decision-making. Yet, many organizations still struggle to fully realize their potential, often mistaking the mere purchase of technology for the establishment of a true business capability.
Ashish Singh, Co-founder and Chief Business Officer of ScatterPie Analytics, a leader in the decision science space, speaks with CMR and dives deep into critical issues facing today’s C-Suites, from common missteps in adopting analytics and the necessity of a robust data strategy for meaningful AI deployment, to the transformative rise of geospatial intelligence.
Furthermore, he shares ScatterPie’s comprehensive, security-first approach to managing a data-driven ecosystem, emphasizing that cybersecurity is a foundational business capability, not just a technical checklist. His insights highlight the paramount importance of data ownership, quality, security, and a culture that values evidence as the true drivers of business impact.
What C-Suites Still Get Wrong About Decision Science?
Many organizations still see data as a technology purchase rather than a business capability. The common misstep is assuming that analytics platforms alone will improve decision-making. In reality, data maturity depends on three fundamentals: clear ownership, quality of inputs, and a culture that values evidence over hierarchy.
Failures occur when leadership treats data projects as one-off initiatives, disconnected from frontline processes. Fixing this requires embedding decision science into business rhythms where data backs every strategic and operational review, and leaders are measured on how effectively insights translate into outcomes.
Why AI is Only as Good as Your Data Strategy?
AI programs struggle when enterprises underestimate the importance of robust data foundations. We have seen that algorithms can scale only when data pipelines, governance, and feedback loops are in place. Without this, AI quickly becomes an experimental showcase with no measurable ROI.
What works is linking AI initiatives to specific business priorities, supported by strong semantic data models and clear accountability. The lesson is simple: AI is not about deploying the newest technology; it is about building trust in data so that predictions, recommendations, and automation drive measurable business impact.
What is your view on the Rise of Geospatial Intelligence in Enterprise Decision-Making?
Dashboards are only the first step in analytics maturity. Increasingly, enterprises are turning to geospatial intelligence to uncover context that traditional reporting cannot provide. For example, mapping sales, operations, or supply chain data against external layers such as demographics, weather, or infrastructure surfaces insights that are otherwise invisible.
Our work in this space, supported by our partnership with ESRI, has shown how spatial patterns directly influence strategy and execution. The next wave of enterprise intelligence will integrate geospatial analytics as a standard layer in decision-making, moving from “what happened” to “where and why it happened.”
ScatterPie’s Approach to Cybersecurity in a Data-Driven Ecosystem
At ScatterPie, we treat cybersecurity as a core business capability, not a technical checklist. The common misstep is viewing security and data analytics as separate domains. In reality, they are two sides of the same coin. Our approach embeds security into the very fabric of our data ecosystem—from hardened endpoints and always-on VPNs that protect data in motion, to enterprise-grade antivirus and intrusion detection systems.
What makes this effective is the operational discipline behind it: rigorous patching, continuous monitoring, and systematic reviews. Anchoring this in our ISO 27001-certified processes ensures every control is documented, audited, and subject to continuous improvement. The principle is clear: in a data-driven world, robust analytics cannot exist without robust security. One without the other is fundamentally incomplete.
What is the role of employee awareness in cybersecurity strategy?
Even the most advanced security tools fail without a vigilant human layer. We recognize that technology forms the barrier, but people are the bedrock of trust. That’s why at ScatterPie, cybersecurity begins with our teams.
We move beyond annual compliance exercises by instituting regular, realistic training sessions, phishing simulations, and ongoing awareness programs. This cultivates security habits that become part of the daily workflow, not an afterthought. Employees are empowered to handle sensitive data responsibly, utilize secure channels like VPNs consistently, and identify risks proactively.
