Discover the power of a fully integrated BI platform
An all-in-one business intelligence platform, hosted in Microsoft Azure that enables every user, regardless of technical skill, to participate in data-driven decision making. Designed to combine data processing, reporting and real time data management into a single platform. The solution for empowering organizations to become truly data driven.
BI-Software integrations
Empowering your business through data democratization
Bibits provides a unique, all-in-one Business Intelligence (BI) platform that integrates data from various systems (such as ERP, CRM, and FMS) with user-generated inputs. The solution goes beyond traditional data warehouse functionalities by enabling users to actively engage with data in a semantic-rich environment. From a central location, users can interact with data in real time, with minimal technical dependency, ensuring consistency and contextual relevance.
This is realized by utilizing metadata-driven techniques and bringing practices typical to OTLP and OLAP together in 1 framework. Users are capable to manage key functions through configuration instead of code changes which eliminates the dependency of external applications or other integrations. Whether you need a strategic planning, forecasting, data enrichment, or a reference data management application, Bibits offers tailored solutions that are quick to implement, minimize risks and maximize business impact.
Benefits
Our solutions
Applications are built on the robust .NET framework, powered by secure APIs and are optimized to seamlessly integrate user interaction with typical database functionalities. Data-entries & updates are directly applicable in databases, tools, and dashboards contributing to an ultra-fast, transparent, and empowered user experience. It offers unparalleled flexibility to meet even the most demanding customer requirements, in real time and without the constraints often associated with other (low-code) platforms.
All functions can be consolidated into a single portal, enhancing effectiveness and data availability within the organization. The framework translates data democratization into an effective portal from where all users can participate in data driven decision making.
The solution eliminates the reliance of fragmented excel files. Access rights, mappings and reference data can be maintained through a portal that is centralized, secure, auditable and delegable throughout the organization. It allows any user to participate in maintaining data necessary to run BI operations or provide the context to it.
The processes and user interface are as simple as it can be. Distractions are taken out due to the minimalistic design and users are intuitively guided to contribute and consume data in an easy to understand manner.
Direct impact to create high-quality, reliable data that serves as basis for advanced analytics, machine learning and data-driven decision making. All functions integrate seamlessly and in real time removing delays that could come with external integration.
By utilizing .NET and metadata-driven techniques, it is possible to flexibly meet the complex and evolving needs of any client. This stands in contrast to many low-code solutions, which often impose limitations to the levels of customization and adaptability.
The solution includes multiple configurable features that enable ‘chip-tuning’, such as the dynamic scaling capability. The function complements Azure native functionalities and automatically adjusts both memory and performance during high-demand periods and scales down during quieter times.
Opposite to the concept of making the use of data widespread are the features to setup the appropriate controls regarding access and the overall functioning of the solution.
The framework incorporates multiple non-functional features by design like
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Cost-Performance optimization
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Security and compliance
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Logging, and error-handling
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Data quality controls
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Management of semantics
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Housekeeping functions like archiving and schema rebuilds
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Scalability
optimized for MS Azure and based on the demanding requirements of the financial industry.
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Data management tools
Business Performance Management
Performance planning processes are typically organized by the finance organization; with users who know their data and with a need to provide input effectively and with minimal risk. These tools allow users to enter and maintain their data via a powerful plug-in within finance’s favorite application : Excel.
FP&A
Strategic planning adapted to meet customer needs without compromise and streamlining finance & FP&A processes. The level of flexibility, adaptability to ever changing circumstances are vital to meeting demanding customer needs over time.
Budget and target data entry solutions
Customizable templates provide a customer-specific, intuitive solution for maintaining budget and target reference data as used in reporting. The solution integrates in real time with reporting and gives context to business performance reviews.
Forecasting tools
Forecasting tools allow the sales force to maintain their revenue estimates with minimal effort at any time and any place. The feature can be used next to advanced forecasting models and is especially powerful to enhance accountability among it’s users (e.g sales management).
See more : go to blog : success story integrated FP&A solutions
Data management tools provide the foundation for effective data management. They improve efficiency and accuracy by delegating maintenance and minimizing errors, leading to faster and more reliable processing of contextual data. Each solution serves a specific purpose but shares the concept of shared responsibility and direct impact.
Reference data management
The reference data management tool facilitates the maintenance of reference data as used in various reporting processes. local stewards can maintain the content they own and provide context to the processes covering their domain.
Master data management
Master data management solution in which key dimensions, golden records, and relationships can be maintained. In structure similar to reference data, yet with extended boundaries around data integrity, hierarchies and covering the core enterprise data entities.
Mapping engine
A mapping engine that allows users to create uniform data. It aligns and transforms data from different sources into a consistent format, enabling integration, standardization, and deduplication across systems. Its purpose is to ensure data compatibility and quality for effective use in various applications.
Data enrichment & allocation
The data enrichment- and allocation portal provides the functionality to add missing data elements to the data as obtained from other sources. It improves the completeness, accuracy, and value of the data, enabling better insights and decision-making. It reduces dependency in making (big impact) changes to (ERP) systems and offers an escape when extra data is urgently needed.
See more : go to blog : success story Data management tools
Business Performance Management
Configuration & security management solutions
Configurtion and security management applications provide the means to control fundamental behavior of a data warehouse solution.
Configuration data management
Configuration data ensures that system functions and procedures are initiated and run conform input. It helps to maintain parameters and the metadata driving the framework and is at the core of the technical functioning of each function.
Security management
The purpose of security management application is to setup the rules and structures necessary to limit access to data and tools to users who are authorized only. Security can be set on row level (content), column (e.g. masking), tool and report. It substitutes separate excel files or hardcoding security in user facing applications.
See more : go to blog : success story Config & security management
System integration solution
System integration
Integrating two distinct systems typically comes with a variety challenges caused by differences in data formats, structures and compatibility. An integration solution bridges the gap between systems as it enriches and maps data to like-for-like terms. Elementary to integration challenges are the abilities to scale and guarantee a secure and compliant exchange of data.
See more : go to blog : success story System integration