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Data Management
Unissant's core strength is in managing data. We are focused on managing data through our data management and metadata solutions. Our data management services provide our clients with a holistic approach to obtain, authenticate, combine and distribute vital data. It provides our clients with a full range of features that improve data quality, simplify distribution and reduce costs. Our data management solutions enable our clients to reduce cost, mitigate risks, improve operational efficiency and increase focus on key business goals.
Our data management services provide secure, optimal management and increased database productivity. Our data management capabilities encompass the following services:
Enterprise Data Management
Data Architecture
Data Architecture roadmaps are essential to ensuring that basic guiding principles are followed when developing various types of data stores throughout an organization-transactional databases, Operational Data Stores, Data Warehouses and Data Marts. bimethods has hands-on experience in facilitating data architecture solutions within your organization.
bimethods Data Architecture Deliverables:
Data Architecture Strategy
Data Architecture Design
Data Architecture Implementation
Data Modeling Guidelines (Logical & Physical
Data Integration
Data Integration is the key to an intelligent enterprise. Our experts have implemented solutions with the latest extract, transformation & load (ETL) tools in the market. Even if your data has never been integrated before, our experts will work within your organization to determine the appropriate integration technique. Do we want to market EAI, ETL and EII? Or just ETL?
ETL Tool Feasibility Studies
ETL Tool Selection
ETL Architecture Design
ETL Tool Conversion/Migration
ETL Standards
Data Quality
Unissant takes the quality of your data very seriously. Poor data quality leads to poor decisions. Our team of experts focuses on identifying the most critical quality issues within your data environment. We listen to our clients to understand their pain points to help devise a plan centered on maximum return.
When you are processing a lot of data, data quality tools are essential to automating the data assessment and scrubbing process. Our team of experts has worked with the latest Data Quality tools on the market. We can integrate the tools as a separate solution or integrated into your current extract, transformation & load process.
Data Quality Analysis
Data Quality Plan
Data Quality Tool Assessments
Data Quality Tool integration Options
Data Delivery
Once you have collected, cleansed and integrated your data, the next major decision is how to deliver your data to you business communities. Our experts have been trained and exposed to many types of delivery solutions, from standard reporting tools, ROLAP tools to cubes .We can provide an objective approach to determining a tool that will meet the needs of the business, as well as, the technology infrastructure.
Data Delivery Approach
Data Delivery Options
Data Delivery Tool Feasibility Studies
Master Data Management (MDM)
Unissant MDM solutions cuts across five data types in an organization, namely Unstructured, Transactional, Meta-data, Hierarchical and Master. We have developed a MDM process for establishing a corporate-wide MDM initiative. The key steps in the process include:
· Identifying the sources of the Master data
· Create a trusted source of master data to be leveraged and re-used across the enterprise
· Assist categorize different sets of Master Data elements to the critical or non-critical data elements
· Identifying the producers and users of the Master data
· Collecting and analyzing the Master data’s metadata
· Establishing data quality and data stewardship processes to ensure Master Data’s quality
· Developing a Master data model
· Determining the appropriate process and system architecture
· Testing the Master data
· Implementing maintenance processes
Database Administration
Unissant database administration services includes - installation, maintenance, operation, monitoring and tuning of the database management system (DBMS), and the backup/recovery of application and production databases.
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