Ditch fragmented, high-maintenance data pipelines â transition to a unified, SaaS data platform that scales without complexity.
Fragmented data platforms â Data is scattered across separate databases, lakes, and third-party SaaS apps â making it impossible to get a unified operational view.
High maintenance overhead â Teams waste hours managing virtual machines, clusters, and complex database infrastructure instead of analyzing datasets.
Slow & stale analytics reports â Pipelines refresh too slowly; executives make decisions based on yesterday's (or last week's) reports instead of real-time realities.
Poor self-service data access â Business departments must request data files from IT, waiting in line for weeks because there's no governed self-service hub.
Spiralling storage & compute costs â Paying separate vendor fees for storage, ETL, and warehousing causes data budgets to spin out of control.
Lakehouse vs Warehouse confusion â Data architects struggle to define when to use Spark-driven Lakehouses, SQL Warehouses, or Kusto databases in Fabric.
Throttled Fabric capacities â Badly written Spark notebooks or Power BI queries exhaust capacity unit (CU) limits, slowing down reports.
Migration risks from Synapse â Lifting custom SQL pipelines or Azure Databricks workloads onto Fabric without breaking production reports is complex.
Fragile Direct Lake configurations â Direct Lake mode in Power BI drops back to import mode unexpectedly, causing slow performance and failures.
OneLake governance gaps â Allowing developers workspace access leads to messy data structures, duplicate datasets, and loose security.
Tell us a little about your situation â we'll suggest the right Microsoft solution for you.
Unified analytics platform implementations delivered to global clients.
Vertex Capital Analytics is a financial market research and analytics firm that provides market insights to analysts, traders, portfolio managers, and investment professionals. The organization analyzes stock market data, covering individual stocks, market indices, sectors, and industries to support investment research and market analysis. With the growing volume and complexity of daily market data, Vertex Capital Analytics needed a more structured and scalable approach to manage and analyze information such as stock prices, trading volumes, index movements, sector performance, and historical trends. The organization wanted to establish a centralized analytics platform that could bring together market data, maintain historical information, and enable users to explore market performance from multiple perspectives. The objective was to provide stakeholders with timely, consistent, and interactive insights that could support market research, stock comparison, sector analysis, and technical analysis.
In most organizations, there is a quiet tax on every business decision: the time it takes to get an answer from data. People who need information often cannot get it themselves. Those who can are stretched thin. The result is delay, guesswork, and missed opportunity. We built a conversational data assistant to change that. The goal was simple: let any employee, regardless of their background or technical skill, ask a business question in plain English and receive an accurate, clear answer immediately. No specialist required. No waiting. No back-and-forth. The assistant understands the intent behind a question, retrieves organization's data, and returns a response that is easy to read and act on. It can also suggest next steps, highlight trends, and explore hypothetical scenarios when needed.
As aviation operations generate large volumes of data across flights, routes, aircraft, passengers, and cost structures, deriving meaningful insights into profitability and operational efficiency becomes increasingly complex. With multiple performance dimensions such as On-Time Performance (OTP%), delay reasons, route profitability, and fleet utilization, stakeholders often lack a unified and actionable view of business performance. This Power BI solution delivers a centralized and interactive analytics framework that consolidates operational and financial data into a single view. It enables users to monitor key KPIs, analyze delay drivers, evaluate route and aircraft performance, and identify optimization opportunities-supporting faster, data-driven decision-making and improved operational efficiency.Â
We are certified Microsoft Fabric partners, helping organizations architect scalable, governed, and optimized analytics estates.
Our Microsoft Fabric practice helps enterprises transition from complex data structures to a unified SaaS lakehouse. We specialize in OneLake architecture, Synapse data engineering pipelines, Real-Time intelligence, and Power BI Direct Lake reports.
From initial tenant configuration to deploying governed lakehouses, we build analytics engines that perform.
We guide you from initial feasibility workshops to tenant-wide Fabric migration and CU optimization.
Configuring workspace topologies, domain delegation, capacity security rules, and performance settings.
Designing star schemas, table partitions, Delta format tables, and semantic models in OneLake.
Building Spark notebooks, copy data operations, and data pipelines to ingest SaaS data.
Ingesting, cleaning, and querying streaming data from IoT devices, logs, and events.
Building semantic models that bypass refresh schedules and import sizes â querying OneLake directly.
Re-platforming pipelines, data lakes, and SQL views from Synapse onto modern Fabric capacities.