How does your data strategy align and support your broader business strategy? How do you measure the return on your data investments? How do you decide what projects to invest in?

Data products can be a value-magnifier for your business, but they can also be a value-detractor if you do not have a disciplined framework in place to manage your portfolio of development. 

𝝉⍺ has implemented portfolio management frameworks at multiple organizations that provide transparency on return on data investments.

Do you have a central data platform? Is it in the cloud or on-prem? Is it a data lake, should it be? How do you get data into your platform? How many application and tools are you paying for to support data products? Is tech debt weighing down your ability to advance your capabilities?

Choosing the right toolset for your data platform can be challenging and can make a big impact on your overall costs and ability to deliver innovation and insights to your organization.

𝝉⍺ has experience with all major cloud data platforms and has implemented greenfield installations as well as major migrations from on-prem to cloud. 

Do you have well-defined patterns that are consistently applied across your data development activities? Are your data products aligned with your broader business products? Do you have user and group policies in place that facilitate safely sharing insights with your teams without exposing you to risk?

Establishing and following consistent patterns in your data development processes and aligning your data products with your business domains will accelerate your development cycles, reduce technical debt and ensure you are able to share the right data with the right users while minimizing security risks. 

𝝉⍺ has established and implemented architectural patterns in small and large organizations and can help to choose the right level of architectural maturity required in your unique setting.

Does it take three weeks to answer today’s question? Does every project cost twice as much as you think it should, and take twice as long to deliver? 

Building your data products with modern engineering approaches will ensure they can scale, provide consistent results and be fault-tolerant.

𝝉⍺ has managed engineering and development teams for over twenty years and can help you identify and secure resourced you need to build and deliver your data products.

Do you understand who are your best and worst customers? Can you predict where and when you will have challenges meeting your revenue goals? Do you have a trove of unstructured data that could provide insight about customer sentiment?

Choosing the right data science approach for your business problem is critical to ensure that you produce outcomes that will drive real value to your business. With open-source ML and AI packages and cloud-computing platforms, it is possible to build and deploy advanced data products very quickly and cost-effectively.

𝝉⍺ has developed and deployed advanced analytical algorithms in multiple business settings that have delivered outsize value and provided competitive advantage for organizations.

Are you able to deliver insights to the right people at the right time to really impact decisions and outcomes? Are you able to connect insights from your data platform directly to operational systems where decisions are implemented?

Generating insights is a great first step, but if you can’t act on these insights than you haven’t delivered any tangible value. Designing data products that can connect to operational systems and that are easy for business users to interpret are critical factors in driving real value. 

𝝉⍺ has experience delivering data products with varied level of integration and can help you decide the right activation approaches based on your unique business environment.

Are you able to deliver insights to the right people at the right time to really impact decisions and outcomes? Are you able to connect insights from your data platform directly to operational systems where decisions are implemented?

Generating insights is a great first step, but if you can’t act on these insights than you haven’t delivered any tangible value. Designing data products that can connect to operational systems and that are easy for business users to interpret are critical factors in driving real value. 

𝝉⍺ has experience delivering data products with varied level of integration and can help you decide the right activation approaches based on your unique business environment.