The proliferation of SaaS tools has created challenges in comprehensively understanding and utilizing data across large enterprises. To address data fragmentation, we connect scattered data sources to create a unified view of your information and build automated rulesets that fill in any data gaps. Using the unified data, we are able to help our clients automate a much broader set of tasks and build insights that are critical for informed decision-making.
Experience with the following tools, frameworks, and languages: Snowflake, Domo, MongoDB, neo4j, AWS Redshift, GCP BigQuery, GraphQL APIs, REST APIs, Mulesoft, Boomi, Python, Javascript, Automation Anywhere, SailPoint, Blue Planet Inventory
A major Communications & Media company faced a large number of long-lived vulnerabilities in their service delivery network for which the asset owner was unknown. Without an asset owner for whom to turn for remediation, each day the situation was going from bad to worse. Their existing manual ownership identification processes were hopelessly overwhelmed by the volume of newly discovered vulnerabilities and newly identified assets. To solve this problem, DayBlink Consulting helped the client wring value out of a fractured data environment by gathering tens of millions of records from various operational systems into a single repository, developing automation to sift through the enormous set of data to find clues to ownership, and building a user-friendly UI to help users fully confirm ownership where ownership identification was not definite enough for auto-assignment. Our solution successfully decreased the number of high severity vulnerabilities without an identified owner by 95% in just 12 months.
A leading cybersecurity technology startup faced a significant data integration challenge, with disparate systems hindering efficient operations. Manual data handling processes led to delays, errors, and inefficiencies which impacted the overall performance of critical business functions. DayBlink Consulting proposed and implemented a comprehensive data orchestration strategy, centered around MuleSoft. MuleSoft’s API-led connectivity facilitated a modular and scalable architecture, ensuring flexibility and adaptability as the client was growing quickly. The solution reduced data silos and fostered real-time data exchange between verticals. Time-sensitive tasks that once took hours were now completed in minutes with little or no human touch, empowering the client to respond swiftly to market demands.
In the aftermath of a challenging spinoff, DayBlink Consulting partnered with a major data center company to consolidate fragmented information across digital and analog sources. Faced with the task of rebuilding billing and contract systems, our solution employed automation techniques including RPA, OCR, and ETL scripting to unify customer records, invoicing, billing, and other critical datasets. Automated search algorithms and OCR were deployed to extract and process data, establishing a unified data lake as the foundation for revamped systems. The automated approach led to immediate improvements integrating customer records, invoicing, and billing efficiently. Automation significantly reduced time and resources required for data management.
As part of an enterprise data governance program at one of the largest cable providers in North America, DayBlink undertook a strategic initiative to establish standards and processes crucial for ensuring the right data, with the right access controls, remains consistent, available, and discoverable when needed. The client faced challenges in managing data consistency, availability, and discoverability, requiring a comprehensive solution to establish standards and processes for secure and accessible data. Our solution leveraged MDM tools, Snowflake, SailPoint (for identity data), and Blue Planet (for inventory data), to create a robust framework ensuring data integrity, accessibility, and security. The inventories created played a crucial role in the success of an expanded Vulnerability Management program, guaranteeing that all systems storing data were up to date and fully patched.
The rapid transition to cloud-based operations has and continues to generate significant costs and risks for organizations. Our clients turn to us for assistance in optimizing their cloud configurations and automating pivotal processes. Our services ensure that their infrastructure is not only more secure but also operates efficiently leading to cost savings.
Experience with the following tools, frameworks, and languages: AWS, GCP, Azure, VMWare, Kubernetes, Helm, Docker, Artifactory, Hashicorp Vault, Jenkins
A Fortune 50 communications and media client needed to reduce spend on public cloud platforms while allowing business users to continue to deploy workloads without deep technical skills. DayBlink Consulting supported the cloud engineering team to develop requirements for a public-cloud-like experience that could automatically create, destroy, and shift workloads across infrastructure. We delivered a design specification to build a UI and APIs that integrated with VMWare infrastructure. After building the product, our client was able to migrate dozens of applications to the private cloud with little impact to user experience.
As part of a larger application design & build to automate vulnerability management processes, DayBlink Consulting identified a need to reduce complexities in deploying full-stack applications across hybrid environments at a large client in the midst of a digital transformation. For our containerized application, we built an automated pipeline to deploy our application. The solution included Helm charts, Gitlab’s CI/CD automation, JFrog Artifactory, HashiCorp Vault, Jest.js, and pytest to ensure consistent and nearly defect-free releases. The solution was adopted as a template for other software development projects.
In a market flooded with automation and AI tools, the ability to swiftly automate processes is becoming trivial. Our services extend beyond process automation. We evaluate automation opportunities across critical business functions within every major department to help clients build an enterprise-wide strategy. We also design comprehensive solutions and integrations for those opportunities to maximize the ROI of automation.
Experience with the following tools, frameworks, and languages:
For the CIO organization at a large cybersecurity company, assessed and defined the right problems to be solved with automation and the right tools to solve each problem. Modeled the future savings for each candidate and prioritized future approach. Assisted the CIO with evangelizing the strategy throughout the organization and in constructing an appropriate Tiger team for implementation. Technologies eventually implemented include custom APIs and GUIs, SailPoint, BI tools (Tableau, Looker) CI/CD tools (Helm, Chef), scripts, RPA (UIPath, Automation Anywhere).
DayBlink Consulting played a pivotal role in designing the automations and integrations for a seamless and robust access governance strategy for a large technology client. The client faced the intricate task of revamping their Identity & Access Management infrastructure. The existing system lacked cohesion across the IDP, IGA, SSO, and HRMS tools. Using an automation-first approach, DayBlink Consulting undertook the design of a comprehensive IAM ecosystem including SailPoint, Okta, Workday, and PlainID to deliver automated birthright entitlements, access requests, and other joiner, mover, and leaver functions. The solution offered more than just governance, but a streamlined, automated, and secure access framework that transformed the employee experience.
In collaboration with a major technology organization, DayBlink embarked on a strategic initiative to design integrations across applications owned by different business units, aiming to enhance business value and operational efficiency through automation. To allow application owners to more easily integrate, we designed an API management solution to simplify the integration experience and reduce the need for point to point integration. With Mulesoft at the center, the architecture provided users with a universal and easy-to-operate API portal while freeing software architects and developers to select their preferred architecture and environments without needing to conform to a company standard. The project enabled automation across dozens of apps that previously were avoided due to the level of effort being too great.
Our automated analytics solutions transform raw data into insights that empower your teams to advance their initiatives. We specialize in building systems that streamline data processing, analysis, and reporting. By automating the analytics pipeline, we enable our clients to make data-driven decisions with confidence.
Experience with the following tools, frameworks, and languages: Tableau, PowerBI, Looker, Node.js, React.js, Jest.js
For the security team at a large media company, DayBlink Consulting was hired to automate data ingestion and construct analytics, providing senior leadership with invaluable insights into a range of security-related metrics. Our solution employed Kafka for efficient real-time data streaming, SQL and Python for data processing and analytics construction, and Looker to create dynamic dashboards for senior leadership. The solution yielded remarkable results, facilitating informed decision-making and also fostering a culture of friendly competition among senior executives. Improvement calls-to-action, embedded in the metrics dissemination process, generated incredibly high levels of support and compliance throughout the organization.
A Fortune 100 telecom needed to better understand their security risk profile across assets and applications. DayBlink Consulting aggregated data from dozens of systems using Kafka pub/sub pipelines and direct API integrations. We transformed and flattened the data to prepare it for Tableau reporting. Finally, we designed and built automatically refreshed dashboards to report the cybersecurity metrics. Using the reports, our client was able to prioritize risk remediation efforts across 100s of teams responsible for managing infrastructure and software.
A large national bank faced challenges in efficiently collecting, analyzing, and disseminating critical cybersecurity, asset management, and spending information. Leveraging PowerBI and SQL scripts and procedures, the initiative developed security metrics and constructed automated dashboards. DayBlink executed every step, including data identification, metrics design, data ingest, and visualization. The result was the realization of 30+ published metrics, accompanied by a robust backlog of 50+ metrics slated for future development.