Tag: Cost Control

  • Data Lakes and Analytics Platforms: Consolidating Project Data for Actionable Insights

    In the complex world of capital projects—be it in construction, energy, or infrastructure—a persistent and insidious problem plagues even the most meticulously planned endeavors: data fragmentation. Critical project information, the very lifeblood of informed decision-making, often resides in disparate silos. Spreadsheets, disconnected point solutions, legacy databases, and isolated team drives create a labyrinth of data that, while existing, remains largely unusable. This fragmentation leads to missed early warnings, delayed insights, reactive firefighting, and ultimately, cost overruns and schedule delays. The true value of project data, the ability to predict, optimize, and control, remains locked away.

    The solution to this pervasive challenge lies in the strategic implementation of data lakes and analytics platforms. These powerful architectures serve as centralized repositories, designed to ingest, store, and process vast quantities of both structured and unstructured project data from diverse sources. Imagine a single, queryable environment where every piece of project information—from intricate 3D engineering models (BIM/CAD) and detailed cost estimates to procurement schedules, site progress reports, contractual documents, and dynamic risk registers—is unified.

    This unification transforms raw data into a strategic asset. A data lake provides the raw storage and processing power for this diverse information, while an analytics platform layers on the capabilities for data cleansing, transformation, analysis, visualization, and ultimately, the generation of actionable insights. It’s about moving beyond mere data collection to creating a living, breathing digital twin of your project’s performance.

    The true technical value of such integrated platforms shines brightest in the early project phases—Feasibility, Front-End Engineering Design (FEED), and Detailed Engineering Design (DED). It’s here that the foundational decisions are made, and where early insights can prevent costly downstream rework.

    1. Historical Benchmarking and Cost Prediction during Feasibility and FEED: By consolidating historical project data (cost breakdowns, quantity take-offs, actuals vs. estimates), analytics platforms enable sophisticated machine learning models to perform highly accurate cost predictions. During FEED, as preliminary quantities emerge from engineering, these platforms can compare them against a robust historical dataset, flagging potential deviations from expected cost ranges and providing data-backed estimates for future phases. This moves cost estimation from an art to a data-driven science.
    2. Forecasting Project Risk Exposures based on DED-phase Quantities and Interfaces: As DED progresses, detailed quantities, material specifications, and interface points become clearer. An integrated analytics platform can ingest this granular data and correlate it with historical risk events. For example, an increase in complex piping interfaces or a surge in the quantity of specialized materials could automatically trigger a higher risk exposure score for procurement or constructability, allowing project teams to proactively develop mitigation strategies.
    3. Automated Insights from Change Tracking across Design Versions: Design iterations are inherent in capital projects, but tracking the impact of these changes is often manual and error-prone. Analytics platforms can automatically ingest and compare different design versions (e.g., BIM models, P&IDs), identifying changes in quantities, material types, or spatial clashes. Automated dashboards can then highlight the cost, schedule, and risk implications of these design evolutions, providing real-time visibility into scope growth or design maturity.
    4. Integrating Procurement, Scheduling, and Financial Signals into Early Warning Dashboards: The siloed nature of procurement, scheduling, and financial data often means critical signals are missed. An analytics platform integrates these disparate datasets. Imagine a dashboard that combines:
      • Procurement lead times for critical equipment (from purchase orders).
      • Schedule milestones (from Primavera P6 or MS Project).
      • Actual expenditures vs. planned budget (from ERP systems).
      • Design progress (from engineering tools). This integration allows for the creation of sophisticated early warning systems that can flag, for instance, a potential schedule slip due to delayed long-lead item procurement, or an impending cost overrun based on actual engineering hours trending above budget for a specific work package.

    At Athiras, we understand that building a data-driven culture in capital projects requires more than just technology; it demands a strategic approach and deep industry expertise. We empower our infrastructure clients by:

    • Structuring Data Strategies for FEED and DED Deliverables: We work closely with your teams to define clear data requirements, taxonomies, and exchange protocols for all engineering and project controls deliverables during FEED and DED, ensuring data is captured in a usable format from the outset.
    • Building Dashboards that Consolidate Engineering, Procurement, and Cost Data: Our experts design and implement intuitive, interactive dashboards that provide a unified view of project performance, integrating key metrics from engineering progress, procurement status, and financial health.
    • Deploying Early-Warning Systems for Design Scope Growth or Schedule Risk: Leveraging advanced analytics, we develop custom early-warning systems that proactively identify deviations in design quantities, critical path activities, or resource loading, allowing for timely intervention.
    • Supporting Data Governance and Model Traceability to Improve Decision Integrity: We establish robust data governance frameworks and implement solutions for model traceability, ensuring data quality, consistency, and a clear audit trail for all key decisions made throughout the project lifecycle.

    Consider a recent large-scale infrastructure project, a new port terminal in Southeast Asia. The client, facing tight budget constraints, partnered with Athiras to implement a digital platform designed to link early design packages, procurement data, and quantity trends.

    During the FEED phase, as the civil engineering team released preliminary quantity take-offs for earthworks and concrete, Athiras’s analytics platform ingested this data. By cross-referencing these quantities with historical project benchmarks and current market rates for materials and labor, the system flagged a forecasted overrun on the civil works package. This insight, delivered through an early-warning dashboard, was available months before the detailed design was complete or tenders were issued.

    This proactive warning allowed the project team to immediately initiate a value engineering exercise, refine the scope of the civil works, and explore alternative construction methodologies. The result? The project was able to mitigate a significant portion of the potential overrun, leading to a more competitive tendering process and a more predictable project outcome. This demonstrates the power of shifting from reactive problem-solving to proactive, data-driven decision-making.

    In today’s volatile capital project environment, characterized by escalating costs, complex supply chains, and demanding schedules, those who treat project data as a strategic asset—not just documentation—will fundamentally outperform on cost, risk, and speed. Early-stage data lake and analytics strategies set the indispensable foundation for this competitive advantage, transforming raw information into the actionable intelligence needed to navigate uncertainty and drive predictable success.

    Contact our experts today to discuss your project’s unique requirements and build your success from the ground up.

    contact@athiras.id | www.athiras.id

  • De-Risking Megaprojects: A Holistic Approach to EPC Contract Strategy and Execution.

    Megaprojects are the engines of economic progress, yet their inherent scale and complexity position them on a knife-edge of risk. In today’s unforgiving capital projects landscape, early-stage missteps in technical planning and contract alignment are not minor glitches; they are latent vulnerabilities that can cascade into catastrophic cost overruns, schedule delays, and disputes downstream. For senior leaders in oil & gas, energy, and infrastructure, understanding how to de-risk these behemoths from conception to completion is not just prudent—it’s mission-critical.

    The path of a megaproject is littered with familiar hazards. We routinely contend with poor scope definition, where ambiguity in early requirements translates to costly rework later. Unrealistic budgets, often based on insufficient technical maturity, set projects on a course for inevitable financial distress. Unclear risk allocation in contracts leaves critical liabilities floating, only to materialize as bitter disputes. Volatile supply chains, exposed by global disruptions, can cripple progress. And perhaps most insidious, misaligned stakeholder expectations during the crucial transition from Feasibility Study and FEED (Front-End Engineering Design) to EPC (Engineering, Procurement, Construction) execution can sow discord that unravels even the most robust plans.

    Traditional EPC contract models – be they lump sum, reimbursable, or hybrid – often prove inadequate when feasibility studies and FEED phases are rushed or critically disconnected from execution realities. A lack of design maturity at the point of EPC tendering leaves too many unknowns for contractors, leading to inflated contingencies, aggressive bidding, or, worse, a deluge of change orders once physical work commences. Similarly, poor procurement planning during these formative stages exposes owners and EPC firms to late-stage cost blowouts, material shortages, and debilitating claims. The consequence is a reactive, firefighting environment where value erosion becomes the norm.

    This dynamic demands a holistic EPC contract and execution strategy, one that is rigorously rooted in early-phase technical planning. It’s about front-loading intelligence and foresight. This proactive approach emphasizes:

    • Rigorous Feasibility Studies: Ensuring early concepts are technically sound, economically viable, and strategically aligned before significant capital is committed.
    • Clear Deliverables during FEED: Defining precisely what constitutes a mature, actionable FEED package to minimize ambiguities before EPC.
    • Robust DED (Detailed Engineering Design) Processes: Guaranteeing that the final design is constructible, optimized, and free from inter-disciplinary clashes.

    This is where Athiras brings unparalleled value as an enabler of strategic clarity and execution confidence:

    • Improving Owner Readiness & CAPEX Certainty: During feasibility and pre-FEED phases, our technical advisory supports owners in defining project baselines, validating technological choices, and developing strategic cost estimates that accurately reflect capital expenditure (CAPEX) certainty, minimizing early surprises.
    • Supporting Risk-Informed FEED Packages: Our experts work alongside owner’s engineers and FEED consultants to enrich FEED packages with strategic cost estimates, meticulous interface mapping, and comprehensive value engineering. This ensures that technical decisions are risk-informed, anticipating and mitigating potential issues before the EPC tender.
    • Delivering High-Integrity DED Packages: We assist in the development of robust, constructible, and optimized DED packages that significantly de-risk subsequent tendering and contract execution. This precision in design minimizes the basis for change orders and claims, upholding the highest standards of engineering integrity.

    The true resilience of an EPC contract is built long before the ground is broken. It is forged through execution tactics meticulously applied from the FEED and DED stages:

    • Structured Risk Registers: Developed early and actively managed, our advisory services ensure these registers are dynamic, living documents, integrating insights from technical studies to identify latent risks, assign clear ownership, and define proactive mitigation strategies.
    • Contract Alignment Workshops: We facilitate collaborative workshops during FEED and DED to ensure all stakeholders—owner, FEED engineer, and prospective EPC entities—achieve a shared understanding of project scope, risks, and performance expectations, establishing a foundation for trust and transparency.
    • Milestone-Based Payment Strategies: Our technical advisors help craft payment milestones directly linked to tangible design maturity and procurement achievements, providing clear incentives for early technical completion and precise progress visibility, informed by digital insights into project performance.
    • Contingency Modeling: We work with project teams to develop sophisticated contingency models that are rooted in robust technical risk assessments from FEED, allowing for data-driven allocation of contingency buffers where they are most needed, rather than arbitrary percentages. By embedding these practices early, Athiras’s advisory services empower projects to prevent costly firefighting and claims later in the cycle.

    Consider a recent hypothetical scenario: a major LNG terminal expansion, where the initial FEED package, due to schedule pressures, left several critical interface details ambiguous regarding tie-ins to existing facilities. This lack of clarity presented a latent risk for the eventual EPC contractor. Early engagement with Athiras as a technical advisor during the pre-tender phase enabled us to conduct an independent review of the FEED package. Our detailed interface mapping and constructability workshops, leveraging our deep experience in brownfield projects, uncovered a potential multi-million-dollar design rework and schedule delay that would have materialized post-EPC award due to conflicting pipe routing and structural supports. Our proactive identification and proposed resolutions allowed the owner to issue clarifications and incorporate these into the EPC tender, validating constructability assumptions and preventing what could have been a catastrophic claim and delay once the project hit the ground.

    Looking ahead, capital project leaders must prioritize a fundamental mindset shift in the next decade. We must champion design maturity as a key performance indicator for project readiness, not just a phase to rush through. Digital cost control must evolve beyond simple tracking to predictive analytics that inform strategic decision-making. Risk-driven FEED will become the norm, with every technical decision weighed against its impact on overall project risk. Finally, truly collaborative contracting will emerge as the dominant paradigm, fostering an ecosystem of shared success. Partners like Athiras are critical enablers of this transformation, providing the technical foresight, strategic clarity, and execution confidence required to future-proof megaprojects against an increasingly complex future.

    What early-stage strategies are you leveraging to de-risk your next capital project? Share your thoughts below!


    Contact our experts today to discuss your project’s unique requirements and build your success from the ground up.

    contact@athiras.id | www.athiras.id