Customer Experience

About Us Accelerant is dedicated to providing best-in-class data science services by combining human and machine intelligence.Our vision is to promote the pervasive use of data-driven decision making in every engagement. We have developed a unified process that simplifies the deployment of data science techniques for problems of any scale – big or small.This approach ensures an almost immediate return on investment, driving improved efficiencies across our clients’ operations. Our Services ✅ Data Strategy & RoadmapDeveloping clear strategies to leverage data as a strategic asset. ✅ Data EngineeringBuilding robust, scalable, and efficient data pipelines and architectures. ✅ Data ScienceApplying advanced analytics and statistical models to derive actionable insights. ✅ Machine Learning & AIDesigning and deploying intelligent solutions to automate decision-making. ✅ Digital TransformationEnabling organizations to evolve digitally by integrating cutting-edge data and AI solutions. ✅ Managed ServicesProviding end-to-end management of data platforms and solutions for optimal performance. About the Customer A leading health and nutrition manufacturer committed to innovation and operational excellence. Customer Need The customer embarked on a digital transformation journey to modernize their Oracle Business Intelligence (BI) environment, migrating to the Microsoft Azure Analytics cloud stack for improved scalability, performance, and cost efficiency. Solution Overview Accelerant crafted a turnkey approach to architect, develop, and migrate the customer’s BI infrastructure to Microsoft Azure Analytics cloud. Key Steps: Assessment & MappingUsing the Accelerant SHARP toolkit, the as-is Oracle BI environment was assessed and mapped to relevant Azure Analytics and Power BI components. Modeling & VisualizationAccelerant’s technical experts developed analytics models and created modern reports and dashboards using Power BI’s interactive visuals. ETL ModernizationThe SHARP toolkit was leveraged to reverse engineer existing ETL logic, which was re-implemented using the Microsoft Azure Data Factory (ADF) framework. Engaging DeliverablesDelivered executive dashboards, interactive reports, email-based data alerts/reports, and actionable mobile reports to empower business users. User MigrationAll users were seamlessly migrated from Oracle BI to the modern Power BI infrastructure, ensuring continuity and adoption. Benefits ✅ 36% cost savings in maintaining the BI environment✅ Faster, interactive executive dashboards compared to legacy Oracle BI✅ Mobile dashboards enabling field personnel with on-the-go data access✅ Improved data availability and timeliness for business decision-makers How May We Assist You? Call us today at 949-391-4125 to learn more about our free assessment services and how we can accelerate your data modernization journey.  

The Customer A large vitamin manufacturer with national presence. The Challenge The customer was looking to rationalize cost of data infrastructure with multiple technology toolset for integration, analysis and business intelligence. Customer was also looking for a partner to provide guidance on cloud modernization for data assets. With each department with their tool of choice, Accelerant was hired to provide technology portfolio rationalization, change management strategy, cost projection, and execution timeline. The Solution Accelerant partnered with the customer’s IT department to map each tool set to business value. Accelerant identified each user facing business intelligence tool set, examined overlapping business use cases. 1. Accelerant created a uniform set of parameters for each user facing tool set and evaluated technical capability and business criticality of each tool. 2. Data harmonization tools were evaluated on each of use, speed to delivery and existing in-house IT resource skillset. 3: A standard SWOT analysis was presented for each tool set. 4: Accelerant provided IT tool program rationalization based on projected subscription cost, migration cost, cost savings over next 5 years. A detailed mapping of each use case to tool set was shared with customer subject matter experts. A change management strategy was designed to get buy in from 5: Customer adopted one of the leading cloud technologies and hired Accelerant to implemented tool standardization. Result Customer reduced total operational cost of ownership by 27% while moving to modern cloud. A detailed change management along with training shaped better user adoption. Customer standardize on fewer tool set which resulted in data driven business process collaboration among various departments. Elimination of duplicate features reduced IT support tickets How can we assist you? Call us today at 949 391 4125 to know about our free assessment.

The Customer A large retailer in Middle East with millions of products in its portfolio. The Challenge The customer embarked on digital transformation, moving away from legacy retail solution to industry standard Oracle retail, JDA supply chain and modern data warehouse. Internal team struggled with data quality and data migration to support the digital transformation. The Solution Accelerant created an integrated approach to data cleansing, standardization, and ultimately migration into Oracle, JDA and ecommerce solutions. 1. Accelerant prepackaged migration toolkit assessed data readiness from legacy systems, and addressed data standardization, and cleansing based on input from the customer. 2. Accelerant experts created conversion design, and built integration variety to data sources. Proprietary load techniques for very large data sets was successfully deployed to migrated extremely large data sets for  Items, locations and other master data. 3: Data was reconciled using automated test scripts after each mock run. 3 Mock runs were done to provide confidence in data conversion and assurance on load times during actual go live. 4: Data based Dashboards published KPIs that got automated updates based on actual development based by the developer, thus providing transparency in progress reporting.  5: All stakeholders got role-based action item list from the project dashboards, thus making weekly meetings more productive. Result Customer successfully migrated data from legacy systems to new generation of applications. Data reconciliation testing and reporting provided data assurance to teams consuming data. Data quality was improved significantly as a result of Accelerant data migration toolkit. Accelerant recommended creation of data quality team, which owned master data management activity, interacting with all enterprise application teams. How can we assist you? Call us today at 949 391 4125 to know about our free assessment.

The Customer A global company with trusted products in more than 100 countries The Challenge The customer embarked on digital transformation, moving their data warehouse and related ecosystem of services to cloud in view of growing data needs. This requires a number of elements, from technology components to regulatory considerations. The Solution Infrastructure: Given the large volumes of data involved, Accelerant proposed cloud-based data warehouse for scalability and cost-effectiveness with Snowflake. Data Integration Tools: Accelerant implemented Azure data pipeline to connect various data sources into the warehouse. Data Security and Compliance: Accelerant has used encryption, access controls, and regular audits for handling sensitive health data. Compliance with health data regulations like HIPAA in the US, GDPR in Europe, or other regional data privacy laws has been taken into account as well. Analytics Tools: Developed Power BI dashboards for advanced analytics and daily reporting. Data Recovery Plan: Accelerant implemented a robust data recovery and backup plan to protect the highly sensitive data in case of any failures or disasters. Collaboration with Stakeholders: Collaborated closely with stakeholders from across the business to ensure the data warehouse meets their needs. This includes sales and marketing teams, product development, customer service, and senior management. Result By integrating data from multiple sources and providing advanced analytical capabilities the solution was able to provide valuable insights to support decision-making across the company. With faster data processing and real-time analysis, a modern data warehouse can make operations more efficient. It can enable faster responses to changes in the market or customer behavior, and can also streamline processes by automating routine tasks. By re-imagining the data warehouse we were able to provide better tools for data management, security, and compliance. This helped the company meet regulatory requirements more effectively, and also reduce the risk of breaches or violations. How can we assist you? Call us today at 949 391 4125 to know about our free assessment.

The Customer A medical device company with global presence with innovative solutions in multiple therapies. The Challenge An efficient clinical trial design with regulatory constraints is part science and part data science. Customer was challenged to complete enrollment in defined timeframe and within a certain budget. The customer had challenges providing overall study data to sites in real time and communicating future enrollment priorities to research sites.   The Solution In order to run the clinical trial, customer partnered with Accelerant to manage end to end clinical trial. Customer enabled Accelerant ClinPASS­­TM, intelligent clinical trial platform to bring sponsor, researchers on single data science platform. Accelerant ClinPASS­­TM enabled key performance indices (KPIs) kept all parties on same page. Clinical department was able to leverage sophisticated insights generated by ??? to get deep insight into operational as well as financial metrics of the trial. By tracking spend vs budget, clinical department was able to keep check on costs. Site scorecards facilitated enabled customer to encourage most efficient sites for quicker enrollment. Research sites felt empowered to get real time data, and transparency into billing. Milestone based payment metrics provided visibility and transparency into payment processes, thus improving sponsor-site relationship. Result Standard and compliant revenue recognition process throughout the organization. Improved accuracy in revenue recognition with significant reduction in manual work. Quick drill down capability to deep dive from balance sheet to transaction details. Standard and secure reporting access, as defined in finance system. How can we assist you? We are looking forward to talking to you regarding your current or future BI needs. Call us today to know about our free BI assessment.

The Customer A large a home-essentials company delivering innovative products and solutions to consumers for use in and around the home through many trusted brands. The Challenge The customer data warehouse was not inflexible, making it difficult to adapt to changing business needs. They also have long processing times, which slow downed the ability to generate insights and make decisions. The Solution Accelerant re-examined the data warehouse architecture moving them to the newest stack and providing them with in time analytics. 1. Accelerant minimized the biggest bottlenecks of the traditional warehouse model — data prep, data modeling, the creation and management of analytics.  2. Accelerant experts created advanced in-memory data processing technologies to accelerate performance. 3: Accelerant used proprietary load techniques for very large data sets like product master, sales and price master data. 4: After implementation, we monitored the system and the results it’s producing. Use A/B testing, KPIs closely checked, and adjust as needed 5: We ensured the team can easily access and understand the data they need. Achieved this by creating user-friendly dashboards including implementing self-service analytics tools. Integration with other systems also allowed a more comprehensive view to the customer. Result Improved Performance: The new data warehouse is designed significantly speed up data processing times, enabling faster access to insights. Real-time Data Processing: The new data warehouse supports real-time data processing, providing up-to-date insights and enabling quicker decision-making. Improved Data Quality: The new system includes tools for cleaning and preparing data, which improved data quality and enhance the accuracy of analytics. Increased Agility: With a modern data warehouse, the business became more agile. The customer can quickly adjust to changing business needs, and rapidly process new data to generate timely insights. How can we assist you? Call us today at 949 391 4125 to know about our free assessment.

The CustomerA software technology provider with global footprint. The Challenge The SolutionAccelerant partnered with the customer’s technical support department to predict hot technical supportcases. Customer was looking to create a process to manage those technical support cases based onactionable intelligence provided by Accelerant learning algorithm.Step 1. Accelerant created integrations to extract data from technical support portal, customer relationshipmanagement (CRM) system, customer satisfaction survey data and other web portals. Structured as well asunstructured data was used in this analysis.Step 2. Data was harmonized to create a timeline, and all support centric interactions with technical as wellas professional services departments.Step 3: Accelerant team designed analysis based on various features, which were then used in data sciencemodeling techniques.Step 4: Accelerant team created support ticket escalation score which continuously got updated based onnew interactions.Step 5: Support executive got alerted based on when a threshold score was breached. Solution createdexecutive summary for each support cases, which assisted executive to have quick meetings with theirteams. Result How can we assist you?Call us today at 949 391 4125 to know about our free assessment.