When all you can see are trees, we show you the forest. We make sure that your data works for you - so you don't have to work for the data
Having the information and insight – where it’s needed, when it’s needed, every time, all the time.
Whether you’re consolidating data across continents or bringing your warehouse, ERP, and CRM systems together at a single facility to support your business, it’s system integration.
There’s no substitute for success in systems integration unless you’re willing to pay for an army of analysts, endless queries, and piles of Excel spreadsheets.
Customers can’t wait. If you don’t have the system to let customers find
their order information and ship date, your competitors do.
If your team spends Sunday nights pulling data and making charts for the Monday morning status meeting, you don’t have system integration.
Data flows designed in the 1960s and implemented in the 1980s don’t give you business agility.
There’s a discipline to system integration that comes from experience and technology awareness. Whether you are desperate for an immediate bridge or a permanent solution, Blackstone+Cullen’s Common Business Objects modeling approach and decades of experience will deliver a win.
How We Help Clients
Assessment and Requirements Development
We work with our client’s business teams, business owners, and system owners to survey the systems, business processes, workflows, and data in scope for the integration. We next assess the full range and character of related problems and issues involved.
We prioritize the issues identified during the assessment. We then develop specific requirements that describe which data will be acquired, transformed, and made actionable. Further, we define the required uses for the data, including update frequency required.
Implementation and Testing
We work with the client’s IT team to build a sandbox environment for development and testing. We also develop secure connections for data acquisition in the sandbox.
With the sandbox and secure access established, our team then assembles and tests the data interfaces required.
With data flowing into our sandbox environment, our team then prepares and tests data transformations.
We conduct a final deployment and then monitor and validate the data flows.
We review the detailed requirements and the assessment of systems and data already performed. We then catalog and model the data sources and design the unique transformations needed to provide needed data elements.
Then, we design an integration plan. The plan details the data from each of the single source of truth data sources. The integration plan also describes how we’ll use acquired data to populate combined data feeds, databases, systems, reports, and dashboards.
Finally, we plan secure access to the data and define the required complex transformations on that data.
What We Do
Connect Existing ERP and CRM Systems
Connecting existing systems across data silos to provide new and valuable capabilities that reduce cost, provide powerful insights, or dramatically improve customer experience. Using Common Business Objects methodology to enable coherent reporting.
Assembling Data from Remote Systems
Building a data collection system from many geographically distributed systems to provide consolidated reporting and real-time management control. Systems aggregated can range from hundreds of school attendance systems to dozens of inventory management systems in individual distribution centers.
Data Feed Development
Gathering and transforming carefully selected data elements from various systems to deliver a merged real-time data feed. Downstream systems, reporting, decision-making, and machine learning-based applications can all use the created data feed. The data feed can also populate a database, enabling query-based reporting.
Deliver Data Access and Reporting During ERP & CRM Migrations
Delivering an interim solution when ongoing ERP or CRM migration blocks timely access to accurate data by extracting and integrating data from legacy CRM and ERP systems. Data combined can be used to populate data feeds, databases that support queries, and management dashboards.
Online Ordering System
Combining data from a web-based order entry system with a CRM and back-end provisioning system to build a complete customer-facing online selling system.
Establishing a PMO and staffing the PMO with experienced data integration project staff. Adopting standards and a project management methodology and practices for an implementation.
Solutions For All Aspects of Your Business
Whether you need an urgent temporary bridge or a durable permanent solution, Blackstone+Cullen's Common Business Objects modeling approach and decades of integration experience delivers results.
We manage each data integration project with a realistic project plan with well-defined time-tested deliverables and milestones.
In this step, with a known scope of work in hand, we seek out systems, data sources, workflows, processes, and nature and performance metrics of the desired use for integrated data. For data elements with multiple sources, we seek out the single authoritative source for each data element.
Here we develop data models to describe each data source that will contribute data to an integration. We also model the intended uses for the integrated data, such as databases or data feeds. As mentioned above, we model using Common Business Object methodology to reconcile alternative representations of business objects among systems providing data to the planned integration.
With an understanding of data in place, we work with our client to develop detailed and unambiguous requirements for the integration work required. These will define and document the team’s understanding of inputs and outputs.
At this stage, we connect our models to create a design for the integration. We adjust as needed to ensure that we meet each requirement.
We build a functional integration in a sandbox environment, using secure data acquisition to bring in data from each source system. We make and test data transformations in the sandbox as well.
Testing and Validation
After construction, we complete a testing pass and, for some clients, support user acceptance testing. We typically perform this with production data feeds coming into the sandbox environment. Finally, we confirm that we fulfill each requirement.
Depending on requirements, we deploy our integration and transformation code to production servers and connect our outbound data feeds to downstream systems, machine learning applications, and reporting dashboards.
We monitor and resolve issues during the final stage of our integration projects.
Sectors We Serve
Quality Focused, Result Driven
Mainframe DB2 Data Migration into SQL Server
Expanding SAP Globally
Data and Analytics Transformation Roadmap
Increase Rental Fleet Utilization Using an Artificial Intelligence Engine
Sustained, Unfair Competitive Advantage
Understand how our team can help your organization with your Systems Integration.