Legacy System Modernization: A Practical Framework

This article reflects insights from Sphere's engineering and consulting teams, drawing on 20+ years of experience modernizing enterprise platforms. Our approach is grounded in real project outcomes — 80+ applications optimized, 92% improvement in deployment speed, and 2x faster feature delivery after removing legacy bottlenecks.

Streamlining IT Operations at Network Services Distribution

Network Services Distribution transformed its IT operations by replacing spreadsheet-based project tracking with an integrated monday.com solution. The result: 300+ hours of administrative work eliminated annually, real-time visibility for leadership, and a scalable foundation that grew with the business.

NetSuite SuiteQL Schema Changes: What Breaks First and How to Fix It

NetSuite’s shift to the NetSuite2.com SuiteAnalytics data source introduces a new SuiteQL schema—and it’s already breaking reporting, integrations, and warehouse pipelines. Tables and fields move, joins behave differently, and permissions tighten, so “just fix the query” turns into a whack-a-mole exercise across workbooks, scripts, ETL jobs, and iPaaS flows. This guide explains what changed, what fails first, and Sphere’s playbook to regain control: Assess → Stabilize → Modernize.

Predictive Forecasting in an Industrial Construction Firm

A mid-sized U.S. EPC firm lacked real-time financial visibility due to fragmented spreadsheets and outdated ERP systems. By unifying project data and deploying predictive Power BI dashboards, the company gained live cost tracking, automated forecasting, and proactive resource control. Results: 22% higher forecast accuracy, 80% faster reporting, and 18% better utilization—turning financial management from reactive to predictive.

Centralised Dashboards for Subcontractor Management

A mid-sized U.S. general contractor managing over 120 subcontractors across 20 active projects needed a unified view of subcontractor performance, cost, and risk. Fragmented data across spreadsheets, ERPs, and field tools left executives blind to real-time issues, causing overruns and delays. In just 10 weeks, our team integrated all subcontractor-related data into a governed Snowflake Lakehouse and delivered live Power BI dashboards that now serve as the single source of truth. Executives can monitor vendor reliability, change-order frequency, and corrective work in real time—transforming subcontractor oversight from reactive to proactive. The result: subcontractor-related cost overruns cut by 17%, reporting cycles reduced from 5 days to under 24 hours, and 100% executive adoption within the first month. The dashboards not only unified operations but established a data-driven foundation for long-term subcontractor benchmarking and performance optimization.

Contact Center Transformation and Modernization: From Cost Center to Loyalty Driver

Every interaction in your contact center shapes customer trust. Too often, companies treat it as a cost to cut rather than a strategic driver of loyalty and growth. This article explores how modernization—powered by AI, cloud migration, CRM optimization, and data unification—turns your contact center into a competitive advantage.

Edge AI Computing Explained: Key Concepts and Industry Use Cases

AI doesn’t need to live in the cloud anymore. From oil rigs with spotty internet to store shelves that restock themselves, Edge AI is quietly revolutionizing how enterprises think, act, and compete. In this piece, we break down what Edge AI Computing really is, why it’s gaining traction now, and how smart organizations are using it to reduce latency, boost privacy, and make better decisions—right where the action happens. If you’re wondering how to stay ahead in a world full of data but short on time, this is your blueprint.

Optimizing AWS Cloud Infrastructure for Financial Company

Sphere partnered with a global leader in commercial finance to optimize its AWS cloud infrastructure, improve data retrieval efficiency, and standardize financial data across third-party sources. Through database enhancements, cloud optimization, and streamlined data aggregation, the client achieved faster decision-making, improved risk assessments, and significant cost savings.