Beyond Problem Solving: How Stratizant is Streamlining Industries
It’s hard to remember a world before data capabilities. Tracking consumer insights, organization processes, and market trends have all been made easier since we did away with the dreaded filing systems and shifted to software-enabled information storage and analysis.
Our ever growing ability to draw insights from data has reduced material waste, time waste, and cost, leading to faster and more profitable business outcomes.¹ But what’s even more interesting is the systems-level integration of data management which has made whole industries more efficient and effective by facilitating unprecedented connectivity between stakeholders.
Data is acquired, processed, stored, analyzed, and shared in the background of our lives, streamlining the systems that make up our world.
As our world changes, so do the needs and capabilities of our data. Having agile data architecture, governance, and culture is the only way to ensure those systems will carry on smoothly while allowing new innovations to prosper.²
Solving Problems and Building Relationships
At Stratizant, we bring data management to the forefront. We work with startups and legacy enterprises to build a solid foundation of data frameworks and systems that allow companies the flexibility to analyze their data and make sound decisions at scale.
In order to effectively address the breadth of digital challenges that companies face today, we’ve cultivated a team of people with exceptional experience and expertise in digital transformation, AI, and IoT. We work collaboratively to understand the values, goals, needs, and challenges of our clients, and combine our experience in order to provide solutions that optimize each company’s data foundation. Together, we help to not only guide, but to design, build, implement, and maintain the strategies and tools that form the technical backbone of organizations.
As a people-first company, we take the time to learn our way into new organizations to truly understand the challenges they face without making assumptions, saving them the time and money that is often spent on the wrong problems. That, in tandem with our emphasis on transparency and sharing the burden of risk, leads to mutually beneficial outcomes for each of our clients.
Without an optimized foundation of data frameworks, each strategy, procedure, and system that follows will be undermined. We’ve seen time and again just how integral a solid foundation of data frameworks is for any organization’s success. By digging into the bedrock of each company’s data integration and tailoring our approach to the nuances of their unique industry, culture, and systems, we’re able to maximize our impact. We focus on the background operations, like employee experience, so everything that follows has a robust foundation to build upon.
Employee experience is just one way we look to improve the systems of our clients, and it has an undeniable ripple effect on every company’s overall success.³ When employee processes are disjointed and inefficient, they cost more and frustrate the organization’s most crucial asset: their people. Our iterative approach to consulting positions us to identify the ways internal operations can be improved, then we build and implement the tools that address those specific pain points.
Whether it’s building a seamless employee experience or back-end data transformation, we focus on resolving and optimizing the foundational systems that make success possible.
Better Products for Better Systems
As consultants, we see the problems. As technologists, we see the opportunities.
Through our experience problem solving alongside a variety of clients, we’ve come to recognize several industry-wide challenges that our technical capabilities are poised to address.
The first problem we repeatedly face is especially evident in healthcare and insurance spaces. Standards and regulations that differ state by state lead to a tedious process of manually entering and transforming huge amounts of data before it can be processed.⁴ Not only does that take up precious time which could be better spent caring for patients, but the common legacy data architecture structures that are in place are ill equipped to process data that has not been standardized, leading to silos. Silos are a burden in any industry, but in healthcare especially, they contribute to the piecemeal care patients often receive.
Data integration systems and processes are not just a matter of technical efficiency. They have real-world implications for industries like healthcare, where better data integration leads to better care. When we strive for seamless data integration, we improve the efficiency, cost, and impact of entire industries.
That fact was reinforced in the second problem we continuously encounter. There are massive disruptions to the supply chain that occur when suppliers fail to meet their delivery dates. Maintaining a lean inventory makes businesses more agile while reducing waste and cost, but it also puts them at significant risk if supply is delayed.⁵ Businesses have to make a choice between carrying higher inventory levels or maintaining a lean inventory and being at the mercy of the supply chain, which can be disrupted by events as significant as a natural disaster or a political decision, and as minor as a tracking error. If we learned anything about our systems from the COVID-19 pandemic or the Suez Canal fiasco, it’s that the supply chain we rely on is not as stable as we might hope.
This led our team to begin developing digital products designed specifically to fill these gaps in systems-level operational challenges.
Stratizant’s first product venture is Quest.
We built Quest after seeing the ongoing challenges that companies face trying to integrate data from many sources, especially in highly regulated ecosystems where it needs to be transformed to fit a prescribed standard.
Quest streams large volumes and varieties of data from multiple sources and merges them for better, up-to-date insights in near real-time. Our next generation technology moves away from extract, transform, and load-based approaches, towards a service platform that moves away from monolithic data architectures. Quest incorporates ready-made, industry-specific frameworks to streamline and automate the data integration of highly regulated industries, so workers don’t have to spend the time manually transforming and entering data to fit specific standards.
Quest’s success in reducing the amount of manual labour needed for moving data, and for providing the most current data, made it the perfect foundation for our next product solution.
Stratizant’s second digital product is FullConfidence.
FullConfidence optimizes the supply chain by applying Quest’s framework and AI to gain near real-time insights about suppliers. Using Quest’s industry-specific frameworks, FullConfidence monitors supplier deliverables and provides predictions about future performance so organizations can maintain the optimal lean inventory without the pitfalls of unexpected supplier disruptions. The birds-eye-view of past, present, and future supplier performance allows for informed planning and decision making at scale, relevant to the specific nuances of even the most highly regulated industries.
The Big Picture
The development of Quest and FullConfidence mark a shift in Stratizant’s capacity to impact companies.
From minimizing waste in the supply chain, to tracking health records, data now facilitates the network of operations that run in the background of our everyday lives.⁶ Optimizing those processes requires an agile data foundation made up of products, systems, and cultures tailored to the needs of the individual company and the industry at large.
Stratizant is in a special position to offer those holistic systems-level solutions. By combining products that are built to address common roadblocks across industries, along with Stratizant’s bespoke consulting, organizations can benefit from highly effective digital solutions whose integration is custom tailored to their individual needs.
Moving into the future we will continue to offer our signature relationship-based consulting while developing digital products that overcome the systems-level challenges we observe. But we foresee an intentional merging of the two, where our consulting services will work together with our products, allowing us to build on top of the transformational technologies we develop in a way that improves the specific digital foundations and internal operations of each unique client.
Whether it’s building tools to improve the employee experience at a specific company or launching products to overcome industry challenges, Stratizant is using data integration to streamline the systems that keep our world running.
Sources
1. Jack Taylor. 6 Reasons Why Data Management Leads to Business Success. Invensis. September, 2015.
2. Dean Sperry. Optimize to Operate, Learn to Innovate: Frameworks for Acceleration. Accelerate Innovation. October, 2019.
3. Jason Flynn & Arthur Mazor. Improving the employee experience. Deloitte. February, 2017.
4. Sabyasachi Dash et al. Big data in healthcare: management, analysis and future prospects. Journal of Big Data. June, 2019.
5. Chris Lee. How to Reduce Costs with Lean Supply Chain Management. Warehouse Anywhere.
6. Greg Siefkin. Using Data to Improve Supply Chain Operations. Material Handling & Logistics. December, 2018.