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Insights

Perspectives on data, analytics and the industries they change.

Articles from the IntelliCompute team — from cloud data warehousing and process intelligence to what analytics means for oil & gas, banking, retail and manufacturing.

OPEN ORDERS · SCORED WHILE THEY RUNOrder receivedCredit checkPick & packShippedDelivered#20471 · Order · 2-day promiseAT CREDIT CHECK · 3.2 DAYS82%→ Release hold, expedite#20458 · Order · partial stockAT PICK & PACK · 1.1 DAYS41%→ Split shipment#20463 · OrderAT SHIPPED · 0.4 DAYS12%On trackLATE-DELIVERY PROBABILITY · MODEL ON ORDER ATTRIBUTESLATE DELIVERIES · LAST 12 WEEKSAGENT ACTIONS · LOGGED TO THE EVENT LOGRELEASE HOLD · SPLIT SHIPMENT · RE-ROUTE CARRIER

Featured · AI & Analytics

From Seeing the Process to Running It: Process Intelligence, Execution Intelligence, and the Context AI Needs

What process mining, process intelligence and execution intelligence each actually do, why the order matters, and why the live process model is the context an AI needs before it touches real work.

Read article 8 min read
GOVERNANCE · WHO DECIDESOWNERS DECIDE · STEWARDS MAINTAIN · ONE FORUM, MONTHLYDOMAINS · A BUSINESS OWNER ON EACHCustomerOWNER · HEAD OF SALESSupplierOWNER · HEAD OF PROCUREMENTProductOWNER · HEAD OF OPERATIONSSTEWARDS KEEP DEFINITIONS AND QUALITY CURRENTFour decisionsBUSINESS DECISIONS, NOT DATA DECISIONS1Who defines a metric2Who fixes quality at source3Who approves a new use4Who answers the regulatorOne forumMONTHLY · 30–60 MINSelf-servicebecomes safeAIbecomes assurableRegulatory questionstake hours, not weeksGOVERNANCE OWNED BY THE PEOPLE WHO RUN THE BUSINESS PRODUCES TRUST · DELEGATED TO A FUNCTION, IT PRODUCES DOCUMENTATION

Data Engineering & Cloud

Governance Is a Strategy Problem, Not a Checkbox

Who defines a metric, who fixes quality at source, who approves a new use of data: decisions about how the business runs, and they belong on the executive agenda, not in a policy binder.

8 min read

THE DATA ESTATE · INFRASTRUCTURE, NOT A COST CENTRERETURNS ARE NON-LINEARPlatformLAKEHOUSE · WAREHOUSEPipelinesINDUSTRIALISED, NOT HAND-RUNModelsONE DEFINITION OF EVERY METRICDecisionsPRICING · CREDIT · ROUTINGGOVERNANCE AND DEFINITIONS RUN THROUGH EVERY LAYERThe Monday testONE QUESTION, TWO ESTATESWITH THE ESTATEAsked Monday · answered MondayWITHOUT ITReconciled by hand, debated until FridayAND THE WHOLE SEQUENCE RUNS AGAIN NEXT TIMETHE FIRST ESTATE PAYS FOR DATA EVERY TIME IT ASKS A QUESTION · THE SECOND PAID ONCE AND DRAWS THE RETURN

AI & Analytics

The Data Estate as Competitive Infrastructure

Every competitor holds roughly the same data. The advantage is the decision, and how fast and confidently it can be made. That makes the data estate infrastructure to build, not a cost to minimise.

7 min read

OPEN ORDERS · SCORED WHILE THEY RUNOrder receivedCredit checkPick & packShippedDelivered#20471 · Order · 2-day promiseAT CREDIT CHECK · 3.2 DAYS82%→ Release hold, expedite#20458 · Order · partial stockAT PICK & PACK · 1.1 DAYS41%→ Split shipment#20463 · OrderAT SHIPPED · 0.4 DAYS12%On trackLATE-DELIVERY PROBABILITY · MODEL ON ORDER ATTRIBUTESLATE DELIVERIES · LAST 12 WEEKSAGENT ACTIONS · LOGGED TO THE EVENT LOGRELEASE HOLD · SPLIT SHIPMENT · RE-ROUTE CARRIER

AI & Analytics

From Seeing the Process to Running It: Process Intelligence, Execution Intelligence, and the Context AI Needs

What process mining, process intelligence and execution intelligence each actually do, why the order matters, and why the live process model is the context an AI needs before it touches real work.

8 min read

EVENT LOG · THREE FIELDSCASE IDACTIVITYTIMEORD-20471Order received09:14ORD-20471Credit check09:31ORD-20458Order received09:40ORD-20471Credit check11:52ORD-20458Pick & pack13:05ORD-20471Pick & pack16:20ORD-20458Shipped17:48ORD-20471 · CREDIT CHECK TWICE → A REWORK LOOPDISCOVERED PROCESS · DAY 5ReceivedCredit checkPick & packShippedDeliveredRework loop · 31% of cases · +2.4 days

AI & Analytics

What Your Event Log Needs Before Process Mining Will Work

Process mining reconstructs a process from three fields your systems already record. What each one means, where it hides, how it goes wrong, and how to tell in five minutes whether yours is ready.

9 min read

AI PILOTS → THE P&LTHE GAP IS THE OPERATING MODELPILOTS THAT “WORK”HAND-CARRIED DATA · NO OWNER · NO CONTROLSOperating modelFOUR GATES · BUILT ONCE, NOT PER PILOTDecision ownerGoverned data pathSequenced portfolioAssurance built inIN THE P&LOwned · governed · monitoredTHE SHORTEST CREDIBLE PATH RUNS THROUGH THE OPERATING MODEL, NOT ANOTHER PILOT

AI & Analytics

Why Most AI Pilots Never Reach the P&L

Boardroom ambition has outrun data maturity. The shortest credible path from pilot to production runs through the operating model: an owner, a governed data path, a sequenced portfolio, assurance.

3 min read

MANUFACTURING · 7 OPERATIONSDATA ENGINEERING + DATA SCIENCEDATA WAREHOUSE · SENSORS1Predictive maintenance2Real-time monitoring3Demand & inventory4Price optimisation5Supply chain6Product development7Worker safety

Manufacturing & Supply Chain

7 Manufacturing Operations that Data Engineering & Data Science will Revamp

Seven manufacturing operations data engineering and data science will transform — maintenance, real-time monitoring, forecasting, pricing, supply chain, product development and safety.

6 min read

OIL & GAS · MARKET GROWTHUPSTREAM · MIDSTREAM · DOWNSTREAMGROWTHPOWERED BY ADVANCED ANALYTICSExploration & productionENERGY DEMAND +50% BY 2050Changing regulationsCOMPLIANCE · CARBON FOOTPRINTSupply chain efficiencyFIND GAPS · OPTIMISEReal-time operationsINSTANT INSIGHT · LESS DOWNTIMEHEADWINDS: PRICE SWINGS · FOSSIL-FUEL UNCERTAINTY · TRADESTRATEGY ON SHIFTING SANDS → BUILT ON DATA

Oil & Gas

Implementing Advanced Analytics for Oil & Gas Market Growth

How advanced analytics helps oil & gas companies bolster exploration and production, keep pace with changing regulations, connect the supply chain and track operations in real time.

5 min read

OIL & GAS · DATA WAREHOUSINGONE CONSISTENT SOURCEHETEROGENEOUS DATAExplorationProductionLegacy systemsField sensorsFinance1980s → 1990s → TODAYData WarehouseMULTIDIMENSIONAL · CONSOLIDATED · CONSISTENTEVERY BUSINESS UNITOperationsCompliance & reportingPlanningManagementACCURATE · SHARED · REAL-TIME (NEXT)INTEGRATION + INFORMATION SHARING → BUSINESS PERFORMANCE

Oil & Gas

Advanced Analytics in Oil & Gas: Unlocking the Potential with Data Warehousing

Why data warehousing has become the backbone of advanced analytics in oil & gas — consolidating heterogeneous data, simplifying integration and enabling consistent sharing across business units.

4 min read

PREDICTIVE MAINTENANCE · OIL & GASCATCH THE BREAKDOWN BEFORE IT HAPPENSSENSOR PARAMETERSTemperatureMoistureNoiseVibrationElectric currentASSET CONDITION · CONTINUOUS MONITORINGPRE-DEFINED THRESHOLDSHUTDOWN (AVOIDED)Failure predicted · 9 days outACTIONSSchedule maintenancePrioritise repairsAvoid shutdownPlan capex"DATA IS THE NEW OIL" · UPSTREAM · MIDSTREAM · DOWNSTREAM

Oil & Gas

Predictive Analytics in Oil & Gas Industry

Why data is becoming the oil industry's most valuable resource, and how predictive analytics and predictive maintenance catch breakdowns early, schedule repairs and guide capital decisions.

5 min read

BANKING · PREDICTIVE → PRESCRIPTIVE10 APPLICATIONSTRANSACTIONSCUSTOMERS · RISKPREDICTIVEWhat will happen?PRESCRIPTIVEWhat should we do?01Financial mgmt02Fraud prevention03Application screening04Liquidity planning05Acquisition & retention06Buying habits07Loan approval08Cross-selling09Lifetime value10CRMAI · MACHINE LEARNING · BIG DATA · DATA MINING

Banking & Finance

10 Ways the Future of Banking Is Predictive and Prescriptive

Ten applications of predictive and prescriptive analytics in banking — financial management, fraud prevention, screening, liquidity, acquisition, loans, cross-selling, lifetime value and CRM.

5 min read

DATA QUALITY MANAGEMENTTOOLS · PROCESSES · PEOPLERAW DATAINCOMPLETE · INACCURATE · UNRELIABLEDATA QUALITY GATESolid data designRules & metricsData standardsMonitoringData architectsPROACTIVE > REACTIVEHIGH-QUALITY DATALess wasted resourcesHigher-quality leadsRaw → meaningful dataCompetitive edge1% FLAWED DATA CAN SINK A CAMPAIGNCOST OF MAINTAINING QUALITY < COST OF USING POOR-QUALITY DATA

Data Engineering & Cloud

Evolution of Data Quality Management and Business Intelligence

Why data quality management cannot be separated from analytics — four reasons it matters, and how to implement it with the right data design, architects, processes and people.

5 min read

DATA GOVERNANCE FOR MLOPENING THE BLACK BOXDISPARATE SOURCESStructuredUnstructuredHuge volumesMultiple systemsDATA GOVERNANCEAvailabilityUsabilityIntegritySecurityEffectivenessML MODELTRANSPARENT · TRUSTEDDecisionRELIABLE · EXPLAINABLEGDPR-COMPLIANTWITHOUT GOVERNANCE→ misleading information · unforeseen overheads · irrevocable consequencesWITH GOVERNANCE→ security · safety · full potential of ML

Data Engineering & Cloud

AI & ML thrive on data, but without Data Governance, they can't go far

Machine learning is only as trustworthy as the data behind it. Why a robust data governance framework — availability, usability, integrity, security — is the foundation for AI and ML success.

2 min read

PROCUREMENT ANALYTICSFIVE WAYS TO BUY BETTERINPUTSSupplier performanceMarket pricing & riskShipping & carrier dataSocial / text (unstructured)SPEND ANALYTICSPREDICTIVE MODEL · BENCHMARKSSUPPLIER SCORECARDSupplier ASupplier BSupplier CSPEND vs PEER GROUP · REAL TIME01Sourcing value02Evolving demand03Best price & quality04Internal + external spend05Unstructured data

Manufacturing & Supply Chain

5 ways Data Analytics can transform the Procurement Process

Five ways procurement teams use data analytics to buy better — smarter sourcing, evolving demand, best price and quality, internal and external spend views, and unstructured data.

3 min read

AI IN LOGISTICS & SUPPLY CHAINPRODUCTION → DELIVERYAIML · DLPredictiveCAPABILITIESRoboticsWAREHOUSEBig dataROUTE OPTIMISATIONComputerVISIONAutonomousVEHICLESDemandFORECASTINGPLATOONING · AUTOPILOTSUPPLIER INSIGHTSAUDITS · DELIVERY · CREDITCUSTOMER EXPERIENCEVOICE TRACKING

Manufacturing & Supply Chain

Revolutionizing Global Logistics and Supply Chain Management with the power of AI

How AI is transforming logistics and supply chain — predictive capabilities, robotics, big data, computer vision, autonomous vehicles, demand forecasting, supplier insights and transportation.

4 min read

RETAIL INTELLIGENCECUSTOMER IS KINGSHELF · PLACEMENTCLICKS · CART · BUYSENSORS · VISIONBUSINESS INTELLIGENCEDEMANDFORECAST →Consumer behaviourTrend analysisTracking movesNon-performing SKUsProduct placement

Retail & Consumer

Implementing Data Intelligence in Retail. Is it worth it?

Why business intelligence matters in retail — understanding consumer behaviour, trend analysis, tracking customer moves, handling non-performing products and strategic product placement.

3 min read