Welcome to dbSeer’s quarterly newsletter! Let this be your one-stop-shop for all things #data and #AI. Our team at dbSeer is tracking trends, what to read, what to listen to and how we see the future of data and AI, and see how best we can serve your data needs!
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Trends We’re Watching…
In AI: What’s Anthropic Up To?
dbSeer recently published a Case Study showcasing our collaboration with Goddard Schools. By leveraging Anthropic’s Claude Sonnet technologies through AWS Bedrock, we developed an innovative approach to the Teacher of the Year selection process, ensuring both effectiveness and unbiased evaluation. If you’re interested in our work with Goddard Schools, read about it here.
Our choice of Claude stems from its effectiveness, commitment to safety and transparency as well as its advanced technological prowess. Seamlessly integrated with AWS Bedrock, Claude enables effortless automation and GenAI integration across various services and industries.
The ongoing research surrounding Claude continues to be truly inspiring. The Claude 3.7 Sonnet model exemplifies the concept of “deep work” in technological innovation. Its groundbreaking “Extended Thinking Mode” is particularly noteworthy, providing enhanced reasoning capabilities for complex tasks. This feature allows the LLM to demonstrate step-by-step rationality, offering unprecedented insight into problem-solving processes.
Anthropic as a whole has at its core a curiosity to push deeper understanding into how Claude actually thinks so that the technology can better serve the user. This breakdown is particularly fascinating, and provides deeper insight into how Anthropic approaches the process. This commitment to deep technological understanding resonates strongly with dbSeer’s own philosophy. We, too, prioritize the human experience of technology, continuously striving to offer meaningful insights that empower businesses and individuals alike.
In Data: Why Might You Need a Data Assessment?
Gartner’s 5 Stages of BI Maturity are the ways in which dbSeer frames its approach for the data assessment we believe to be the critical first step in your data journey.
What are the 5 Stages? Our visual breaks them down for you to understand.
Most companies find themselves nearing the Focused Stage, understanding you need to invest in BI, data is somewhat integrated, but not enough to feel the impact of what leading with insightful data could do for your organization.
At dbSeer our entire goal is to walk you hand-in-hand to get to the Pervasive Stage. So, how do we offer helping you get from Step 3 to Step 5? Our data assessment is a great start.
We work with you to define clear parameters for where your current state is to where you want your desired state to be, we also always work with you to ensure we’re offering realistic solutions for the commitment you can offer, and we evaluate the best way to ensure a seamless integration and approach to a new data environment- one where your business decisions are made with the latest data available.
As a whole, data assessments are a great place for companies to understand the basic needs. Again, our visuals can tell you the story of why it’s necessary for you to take the leap of faith. Reach out to us today.
Concept We’re Thinking About: Migrating Your Logi Needs
As a premier partner to insightsoftware, we are proud to offer expertise with several Logi products. One of our most recent championed approaches has been to help the transition from more legacy Logi systems to the cutting-edge Logi Symphony.
As we mentioned in the previous section, we start with your data assessment to ensure we understand where your data currently stands, and where it can stand to grow.
Then we mobilize, which involves four aspects:
- Architecture Design: Define the architecture design and security approach for a transition to Symphony.
- Data Migration & Pipeline: Design the migration process for data sources, ETL processes, stored procedures/views into Logi Symphony cubes.
- Proof of Concept (POC) for Key Functionality: POC for critical functionalities and review any alternative approaches that will be required with the customer.
- Risk Assessment: Identify potential risks and ensure migration approach is agreed-upon by all parties involved.
And lastly, we choose to help you migrate & modernize. This phase includes:
- Data Migration: Implement the data cubes from various sources, define the data model and relationships and row-level security (RLS.)
- Report & Dashboard Migration: Migrate reports and dashboards properly and enable self-service reporting for the customer.
- Enabling New Features: Enable Logi Symphony’s new features and ensure utilization for future reporting.
- Performance Optimization: Implement any performance optimization as identified by previous phases in the older system.
- Deployment & User Acceptance Testing (UAT): Conduct integration testing and perform UAT.
- User Training: Once the migration is complete, we want to ensure your team understands how to use the latest software. We offer training sessions, user manuals and hands-on workshops to ensure proper adoption throughout your company.
Why choose us to do this? Our team has 25+ years experience with Logi software, and can ensure a seamless and easy transition to the new software. We are a premier partner to insightsoftware and look forward to serving your data needs. Reach out to us today!
A Report We’re Reading: The Rise of the Composable CDP
dbSeer has been reading The Rise of the Composable CDP this quarter. The report, written by Andreessen Horowitz, critically examines traditional Customer Data Platforms (CDPs). The report highlights a common industry challenge: traditional CDPs are often sold as separate “bundles” that are siloed away from cloud data warehouses, resulting in a fragmented data architecture that confuses consumers trying to effectively merge their data landscape.
Horowitz instead argues for the evolution of Customer Data Platforms (CDPs) towards more modular, or “composable”, architecture that integrates seamlessly with modern data warehouses, adopting a warehouse-first paradigm. The key advantage is that consumers aren’t required to build everything from scratch. Instead, they can work with existing infrastructure, ensuring that systems connect smoothly and that marketing campaigns and experiments can be streamlined.
dbSeer’s latest White Paper aligns with this perspective, offering a similar approach to CDP architecture. If you’re interested in transforming your data infrastructure, we invite you to read our White Paper to understand our methodology. Reach out today, and let dbSeer help you build a warehouse architecture that perfectly fits your CDP needs.
A Moment in History Worth Looking At: Where did CRMs originate?
No business nowadays is able to survive without an effective Customer Relationship Management (CRM) system. This has become a core way to track customers and ensure you maximize your ROI.
But when did the first concept of a CRM emerge? The first type of CRM system was launched in 1986 and was named ACT! Considered the first “digital rolodex” of its time, it was essentially a way to digitally store and keep track of customers. It wasn’t until the ‘90s that the term CRM actually came into popularity, and now, almost 40 years later, customer management has been revolutionized.
