A brief excerpt of recent cases
Case: Need for stronger digital business performance transparency & reporting.
Solution: PowerBI dashboards from workshop facilitating KPI setting.
Impact: Dashboards individually covering projects, resources, financials, operations, sustainability, culture and individual customer dashboards provided E2E transparency to all facets of their daily business.
Case: 360° view of customer base.
Solution: AI solution to create:
Impact: Transparency on customer lifetimes, churn preditiction, segmentation, lead generation tool and marketing channel mix optimation increased growth to beat industry standard by 100%.
Case: Big data system for handling data outcome and data science lab part with image recognition for reducing dentists time for radiograph analysis.
Solution: Deep learning in advanced analytical setup (data science lab) where images are analysis dental health conditions. Online dashboard in Tableau displayed score cards for dentists and specialists world wide.
Impact: Significant reduction of time consumption for dentists analysing radiograph images.
Case: demonstration of the value-add in implementing AI to a existing requisition robots.
Solution: Advanced AI utilising a vast array of parameters creating port-, price-, cost-, supplier- and product optimisation.
Impact: Optimisation protocal created a significant cost- and time-reduction for buyers. AI solutions brought optimisation rate from < 60% to 80%, with a machine learning module bringing it to 100% as buyer patterns are recognised.
Case: Cutting waiting time for receipts to max 5s through effectivization of the customer data handling.
Solution: Migration from existing solution to Hadoop framework, based on Google's MapReduce, to secure low cost analytics at high speed.
Impact: Elimination of user waiting time for receipts, accurate price/offer matching, data-driven customer-specific offers and a swift re-order solution based on previous purchases.
Case: Wish for a system to identify Fintech companies could be worth of investing.
Solution: Machine learning algorithms to analyse, through custom-made API, trends against latest data on prospects in Tableau and Oracle.
Impact: 'Fortune teller' - Unprecedented transparency and understanding of Fintech market through market drill-downs & predictions.
Case: Need for decision-making platform to enable faster decisions in the daily operations.
Solution: Using MapReduce in Hadoops environment a Database was created, with data cleaning through data ingestion layer to clean from data lake, in Apache Spark.
Impact: Easy intelligence access & elimination of intelligence bottleneck in BI and IT units, from decision-making in business departments.
Case: Business steering based on leading indicators through forward-looking forecast of different sources with countless variables.
Case: Evaluation of containers on vessel to determine available space to time-optimise stop at next terminal.
Solution: Open source live data framework via D3.JS with several machine learning algorithms to create transparency through live internal system of insights.
Impact: optimisation of critical point in supply chain with reduction of time while unloading at 4.8% and 6.2% while loading the container, and hence dock-time for vessel.
Case: Wish do digitise sales processes & workforce.
Solution: SAP analysis, forecasting and predictive analysis via machine learning of various variables to optimize reporting and insights for customers.
Impact: Reduction of human labour of 42% (!!), cost reduction of adding new features, customer satisfaction increase through more chat-robot and freed up time for customer facing staff.
Case: Need for users / operational staff to give user satisfaction feedback around pre-purchase, purchase & instillation and loyalty & NPS.
Solution: Real-time churn notification system analysing churn risk from real-time equipment data identifying and forwarding unhappy customers eligible for satisfaction survey.
Impact: Significant churn decrease through utilisation and churn intelligence from solution.
Case: Transparency around datawarehouse data - coming from multiple sources - to implement into their CRM system.
Solution: Forecasting methods, via CRM system, and leads was created mapped to given sales and marketing activities via sales modelling using scatter plots and segmentation analysis in dash board.
Impact: The machine learning algorithms provided intelligence to sales on what products to sell when and where.