Business Intelligence for Information Technology
Corporate IT is responsible for precisely and promptly meeting the business management and various business units’ information needs to address strategic, organizational, and financial requirements.
Decisions that lead to business success can only be made with clean, reliable, dynamic, and real-time data. IT must identify BI platforms, software tools, and integration systems that best meet business and IT governance needs while ensuring GDPR-compliant data retention.
Product Benchmarking for IT
The market offers numerous Business Analytics solutions in constant and rapid evolution. Identifying the right platform for a company requires specific expertise in both market dynamics and platform capabilities. Corporate IT teams may lack the resources to conduct comparative analyses beyond the technical specifications of products.
To address this, Blue BI stays continuously updated on all technologies available in the Business Analytics market, providing clients with a value-added service: Comparative Benchmarking.
These benchmarks are tailored to the client’s needs, drawing from project experience and technical evaluations of products. Benchmark analysis is a critical tool for supporting clients in selecting the most suitable technology for their unique cases.
Technology
BI solutions for IT leverage the following technologies:
- Microsoft Power BI and Azure
- Qlik Sense
- SAP Business Objects
- SAP Analytics Cloud
- Dataiku
- SAS
All major technologies can be integrated (e.g., SAP, Dynamics, Opera, Salesforce) with appropriate connectors for both structured and unstructured data, whether on-premise or in the cloud.
Primary business domains generating information:
- ERP
- CRM
- Supply Chain
- Billing
- Finance
- Production
- IoT
IT for Business Analysis
SELF SERVICE ANALYSIS
Business users can independently perform specific analyses they need. The simplicity of self-service analytics empowers any user familiar with their data to obtain answers autonomously, while adhering to strict data security protocols and maintaining IT governance.
REAL TIME ANALYSIS
Monitor business performance in real time. Centralized data in the Data Warehouse (including CRM data) enables historical and correlation analyses, marketing campaigns, sales and inventory tracking, and streaming analytics with minimal or no delays.
PREDICTIVE AND PRESCRIPTIVE ANALYSIS
Using Machine Learning and Artificial Intelligence, predictive and prescriptive analytics can be automated to provide business with forecast tools that support core activities (e.g., sales and profit forecasting through prescriptive analytics).
BI Solutions for Business Workflow
Flexibility
BI solutions are easily configurable to current business processes and adaptable to future changes. Our modular and flexible approach ensures the company’s workflows dictate the technology, not the other way around.
Zero Obsolescence
The modular structure allows for seamless adjustments to existing processes, preventing tool obsolescence.
Adoption
Misuriamo la User Adoption degli strumenti di condivisione e di analisi per intercettare criticità e intervenire tempestivamente con correttivi che permettano di massimizzare il ritorno dell’investimento di Business Analysis.
Scalability
Data management is secure, scalable, and enables access to unstructured data from enterprise and external systems (e.g., images, texts, videos), ensuring their availability for long-term business analyses
Profiled Distribution
With a flexible data model, we integrate information from functional areas with different analytical dimensions and KPIs, enabling profiled distribution of information based on organizational needs (e.g., by function, region, plant, company, or specific KPI).
Data Handling and Governance
We support board management by providing uniform, comparable, and accurate data.
- Certified Measures and KPIs.
- Access to Data Dimensions and Measures.
- Automated Documentation: Data loading, transformation flows, and calculation formulas are automatically documented in PDF format, including descriptive and visual representation of flows, object relationships, data types, and transformation/business rules.
- Data Cleaning: Simple and visual rule-setting for determining whether to accept or reject specific data entries.
- Uniform Data: Eliminates the issue of fragmented analyses across disparate Excel sheets with inconsistent data. Clean and centralized company data builds trust in the insights provided and enables confident decision-making.
- Single Point of Access (SPOC): Heterogeneous data sources are centralized into one access point for end users, facilitating smoother workflows.
- Unified Raw Data: Functional data in Data Warehouses (DWH) or Data Marts (DM) can have multiple perspectives while maintaining a single source of truth to ensure quality.
- Data Lake and Data Hub Implementation: Supports modern data architectures to optimize accessibility and management.
Access to a powerful market and competitor analysis tool:
- Customer Behavior Analysis: Real-time insights into customer behavior, habits, and purchasing preferences by centralizing CRM data.
- Competitor Data Comparison: Centralizes third-party data into the Data Warehouse, enabling robust comparisons with competitors’ metrics.
The vast quantity of business data requires integrated and efficient management to avoid the risks associated with unstructured and unguided environments.
- Simplified and Visual Data Governance: Easily analyze individual data flows, understand their origins, and assess the impacts of modifications. Define business rules to ensure data accuracy and compliance with predefined standards.
- Centralized Analysis Models: Consolidate data from multiple sources into a central analysis model.
- Intelligent Data Loading: Efficiently manage large data volumes by preserving historical data or only loading what has genuinely changed.
- Data Backup: Securely back up data from Excel or other applications to a robust and high-performance environment.
Ottimizzare gli investimenti per l’IT aziendale
Using tools like ChatBots and Natural Language Processing (NLP) makes it possible to:
- Eliminate training or adaptation needs for both digital and non-digital users.
- Provide 24/7 user support without limitations on access to standard corporate services, alleviating internal teams.
- Timely Business Decisions: Decisions are made quickly, based on certified and accurate data, reducing time and resource costs associated with development, data entry, and report generation.
- No IT Expertise Required: The platform can also be used by non-IT users, as it automatically generates machine code to create analysis models through a simple and intuitive visual interface, freeing up IT resources.
- Efficient Data Connectivity: Connects to multiple data sources (e.g., SAP, CRM SFDC, SQL Server, Oracle) without manual data editing, cutting data entry and loading times and costs.
- Power BI Premium: Enables analysis of computational resource usage by individual workspaces, facilitating cost allocation across cost centers.
With Power BI, we address challenges associated with data management on external tools like Excel:
- Unified Data Models: Create a model linking all Excel files, enabling immediate information retrieval (e.g., supplier files).
- Access Restrictions: Apply the same access restrictions to downloaded Excel files, ensuring data control is maintained.
- Activity Monitoring: Use dashboards to track downloads, users, and anomalous behavior (e.g., “impossible travel” access checks based on location).
Computing Power
We address the need to manage peaks in requests during specific time periods.
PowerBI Premium is the platform that enables automatic upscaling and downscaling to provide the computing power necessary to maintain a high-quality user experience.
The tools available on Big Data platforms (Cloudera, Elastic Map Reduce, etc.) allow for the management of data volumes exceeding those of traditional databases while ensuring performance suitable for analytical use.
Blue BI Integrations for IT
On Premise vs Cloud
Integration with third-party cloud-based platforms such as Amazon Web Services (AWS) and Microsoft Azure.
PowerBI
Power BI is the market-leading BI “suite” (according to Gartner). It features an easy learning curve and is cloud-based, meaning it is automatically and continuously updated by its parent company.
Qlik
Qlik Sense is a fully web-based enterprise BI product, responsive and multi-device for consumption, development, and administration. It is multi-cloud: it can be deployed on-premise, on private cloud, or on Qlik Cloud.
SAP
With SAP Data Services, it is possible to feed the Data Warehouse by interfacing with the various SAP modules used in the company without needing to “rewrite” the logic already implemented in the ERP system. The software enables access to diverse data sources and loads them into the Data Warehouse with appropriate transformations.
- On-premise client-server tool with numerous connectors, including third-party options.
- Manages data integration, quality, and governance.
- Data flows are represented through an intuitive visual interface, simplifying maintenance.
- High performance through parallel processing and bulk data loading.
- Ready for Cloud, Big Data, and unstructured data.
