Case Study · Energy · Self-serve BI
    Target messageAsk your operations anything.

    Self-serve business intelligence for teams that can’t wait on IT.

    An upstream oil & gas operator was drowning in production, accounting, and finance data it could not act on — rigid tools, technical bottlenecks, and blind spots that delayed every decision.

    We designed and built the JOYN Analytics platform — a multi-tenant BI product that ingests structured and unstructured sources, streams them through a modern pipeline, and answers questions in plain language across web and mobile.

    Shipped · Multi-tenant · In productionData & Analytics Platform
    By the numbers
    <5s
    Interactive query response
    near real-time
    2
    Surfaces — web & mobile parity
    one platform
    4
    Pipeline services orchestrated
    Glue · Kinesis · SQS · Batch
    0
    Servers to manage
    fully serverless
    N
    Tenants on one platform
    multi-tenant by design
    The business case

    Decisions get made — not queued.

    Before the platform, insight meant a ticket and a wait. JOYN puts self-serve intelligence directly in the hands of operations, accounting, and finance leaders — one platform across web and mobile.

    01

    Decisions without bottlenecks

    Operations, accounting, and finance leaders explore live data the moment a question occurs — no report tickets, no waiting on an analyst, no rigid legacy tools in the way.

    02

    Proactive issue detection

    Prioritized alerts and near real-time insight surface operational problems early, so teams act on deviations before they become downtime and lost production.

    03

    Optimized production

    Clear, context-aware intelligence across production, accounting, and finance helps teams tune output, reduce downtime, and recover the revenue that blind spots quietly bleed away.

    04

    Automated reporting

    Scheduled reports build and dispatch themselves on time, every time — compliance tracking and stakeholder updates run hands-off, with zero manual assembly.

    Inside the product

    Ask in plain language. Answer from live data.

    Four capabilities carry the product — a conversational query layer on the front, and an engineering spine underneath that keeps answers fast, fresh, and cheap.

    Capability 01

    Natural-language querying

    Ask ad-hoc questions of your operations in plain language and get answers back — no SQL, no report backlog. Complex data interactions become a conversation, so decision-makers investigate the moment a question lands.

    Ad-hoc · Conversational · Self-serve
    Capability 02

    Custom dashboard builder

    A drag-and-build studio pairing tabular grids with a range of visualizations. Drill-down navigation, user-defined formulas, and custom metrics turn a summary card into a full investigation — no round-trip to engineering.

    Grids · Visualizations · Drill-down
    Capability 03

    A pipeline built for scale

    High-volume field data moves from capture to analytics lake without flinching. Glue handles ETL, Kinesis streams events in real time, PySpark distributes heavy transforms, and SQS with AWS Batch keeps processing reliable and cheap.

    Glue · Kinesis · PySpark · Batch
    Capability 04

    Serverless query engine

    Athena runs standard SQL straight over the data lake — scalable retrieval, no infrastructure to manage, no idle cost. EventBridge automates scheduled reports and dispatches them to stakeholders on time, every time.

    Athena · Serverless · Scheduled reports
    The architecture

    The engineering that makes analytics fast, stable, and cheap.

    A multi-tenant, AWS-native pipeline carries high-volume field data from capture to lake, and a serverless query engine turns it into answers — on dashboards, in natural language, and on schedule.

    SOURCES STREAMING PIPELINE ANALYTICS LAKE CONSUMPTION Production & SCADA structured Accounting & Finance structured Field & Documents unstructured Kinesis stream ingest Glue ETL extract · transform PySpark distributed transforms SQS · Batch queue · fan-out compute Data Lake Athena serverless SQL Dashboards grids · drill-down · web & mobile Natural-language querying ask in plain language Scheduled reports EventBridge · auto-dispatch FIG. 1 — INGESTION-TO-INSIGHT · MULTI-TENANT · AWS-NATIVE NEAR REAL-TIME · SERVERLESS QUERY ECONOMICS
    Fig. 1 — Multi-source ingestion → streaming pipeline → Athena lake → dashboards, NL querying & scheduled reportsDrawn from a single client engagement · details anonymized
    Spec sheet · how we build

    Five engineering decisions behind the product.

    S-01
    Multi-tenant, cloud-native
    One AWS-native platform serving many customers securely — strict data isolation with shared performance, scaling into spikes without disruption.
    S-02
    Streaming over batch-only
    Kinesis and event-driven workflows deliver near real-time insight instead of overnight rollups, so the field acts on today, not yesterday.
    S-03
    Serverless query economics
    Athena over the lake means pay-per-query SQL with no clusters to babysit — vast datasets stay interactive without runaway storage or compute bills.
    S-04
    Any source, structured or not
    Custom imports from structured and unstructured systems, consolidated through a pipeline engineered to absorb large-scale ingestion without wobble.
    S-05
    Automation as a first-class citizen
    EventBridge-scheduled reporting, prioritized alerts, and hands-off distribution keep stakeholders current with zero manual dispatch.
    Start a conversation

    Most teams have the data. We build the part that answers questions.

    Bring us the data no one can act on. We’ve already turned a field into insight — production, accounting, and finance, answered in plain language.

    Talk to AltSlate Labshello@altslate.com
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