The ideal kick-starter for companies to get the right data, at the right moment, in the right format, in the right place – without upfront investment.
The ideal low-cost, low-risk solution for organizations to gain efficiencies through automation – without upfront investment.
The ideal solution for companies that need remote sensor data ready to be used for decision making.
Data Extraction
Analysts required to go through IT support to extract data from ERP systems. Queries are standardized, inflexible, and can take up to hours to be executed. Frequently, peaks in queries (e.g. during month-end closing) affect the performance of the ERP system.
Real-time data replication of the operational database to a dedicated analytics platform established. Additional source systems added (CRM, HR). Data integration enabled.
Cost-savings captured through right-sizing of the operational databases. Standardized queries with increased flexibility, access to a wider variety of data, and reduced execution times (up to 95% less).
Data Warehousing
Functional areas with local, and mostly file-based data storage. Data sharing through shared folders or emails create redundancies, inconsistencies, and multiple sources of truth. Analysts invest a significant amount of time in data reconciliation. Executive decision making is rarely backed by conclusive data.
Implementation of cloud-based Enterprise Data Warehouse. Role-based security model established, including administrative procedures and policies. In-house support model added to address skill requirements and ensure useability and sustainability.
Established a single source of truth. Increased the quality and timely availability of data increased. Cross-functional collaboration and data-driven decision making enhanced.
Data Transformation
Inbound electronic invoices provided in a semi-structured file format. Transformation into a useable format for finance operations requiring one full-time analyst to manually cleanse and prepare data on a daily basis.
Identified transformation requirements and options. Selected adequate toolset to meet requirements. Designed and implemented a fully automated data transformation logic. Established support and maintenance structure for the solution.
Analyst freed up from manual data transformation. The new solution requires one hour of maintenance per week. Cloud-based licensing costs under USD 100 per month. Manual processing errors eliminated.
Dashboarding
Management with fragmented, incomplete, and untimely views on key performance indicators. Multiple reports with inconsistent data and without drill-down options used.
Created a customized dashboard based on a single, trusted data source. Optimized data extraction and data blending. Enabled self-service reporting functionality. Re-designed reporting processes and structure. Trained stakeholders in required skills and capabilities.
Vastly enhanced KPI visibility for the Management. Decreased data extraction and preparation efforts by over 80%. Decreased response time of KPI drill-downs from days to minutes.
Advanced Analytics
Increase in membership cancelations of subscription-based educational services. Lack of insight regarding drivers of membership loss..
Used membership data such as drop-out rate, visit rates, class registrations, class attendance, and use of material to train a machine learning model to predict the drop-out likelihood. Built and trained a predictive model to identify the best retention offer to keep the member.
Increased customer retention by a high two-digit percentage in 12 months.
Data Governance
Multiple groups of analysts using the same source data come too different conclusions, despite a 'single source of truth' data source. Data-driven decision making not feasible.
Established process and data ownership. Defined policies and standards for data extraction, storage, and transformation. Incorporated collaboration and governance procedures into the existing governance model.
Inconsistencies in data management removed. Cross-functional synergies of data-related activities unlocked. Data-driven decision-making sustained.
Data as a Service
An agricultural family business faces increased data volumes across all functions due to continuous growth. The organization doesn't have the skillset or resources to lay the foundation of a future-proof data management solution. Revenue is affected and regulatory compliance is at risk.
Identified and prioritized business requirements and opportunities. Leveraged toolset hosted and managed by Stratify to meet requirements. Established operations, support, and maintenance model to ensure sustainability. Agreed on 100% variable, on-demand cost model at a fraction of in-house implementation and operation costs.
Revenue opportunities identified and addressed in less than one month. Regulatory requirements covered. Positive ROI captured from day one, with no financial risks incurred.
Automation Service
The daily analysis of a subscription-based service provided to job seekers requires several hours of manual work. The required steps are conducted in three different applications. Tasks are repetitive, with very little deviations.
Leveraged cloud-based toolset to automate manual tasks, orchestrating activities in affected applications. Established operations, maintenance, and support model to ensure sustainability. Agreed on 100% variable, on-demand cost model at a fraction of in-house implementation and operation costs.
Daily analytics activities 100% automated within less than one month. Operating costs represent a fraction of the value created by freeing up the time of the analyst, and by eliminating human errors.
BI Optimization
Multinational Organizations with fragmented, siloed, and inconsistent data management solutions for finance operations. Local, regional, and corporate finance executives with incoherent views on operational and financial performance indicators.
Conducted root-cause analysis and designed a six-month, one-year, and three-year plan. Set up and empowered a global, forward-deployed in-house team. Incorporated process and data governance elements in the existing governance structure. Executed incremental, agile, and value-driven BI solution, covering all relevant technological and organizational aspects.
Finance executives of all levels provided with a consistent view of key performance indicators. Advanced analytics capabilities of financial and operational data unlocked. Cutting-edge BI environment sustained by a high-performing in-house team and a robust operating model. Data management related to OPEX reduced by 45%.
Machine Learning
‘One communication fits all’ approach is falling short of expectations regarding the response rate of online retail customers.
Built Machine Learning model to cluster clients according to multiple characteristics (purchasing patterns, frequency of usage, purchasing volume, etc.). Designed customized communication strategy and value offering, unlocking opportunities for targeted commercial offerings.
Increased customer spending by low two-digit percentage within six months.
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