When the world hands you lemons, make lemonade

Adapting to market conditions with innovation

yellow juice in clear glass jar

We can’t control the market around us, especially in the economic downturn produced by the pandemic, but we can choose how to respond to it.

In a low-interest rate market environment like the US has experienced for the period 2008-2015 following the credit crunch, and again for the period April 2020 onwards, this makes it very challenging for banks to earn interest margins through lending. One strategy that some of our clients have followed is to encourage their commercial banking clients to make the most of treasury services, which generate fee income and aren’t dependent on interest rates. These treasury services are varied transaction and information services that help businesses manage their cash deposits and inter-party transactions. The image on the right illustrates the federal funds rate history for the period 1954-2021, with emphasis on the most recent years. When the federal funds rate is low, the interest rate that banks can charge on loans to their customers is correspondingly low.

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Making the Move

On-premise SAS migration to AWS: costs and savings

Corios has helped several SAS clients modernize their data and analytics assets, practices and workloads, most commonly to move them from on-premise-only to AWS, or hybrid on-premise and AWS. Our solution suite for modernizing SAS analytics is Corios Rosetta. One of the initial steps in helping the client qualify whether they should entertain this step is to calculate the change in Total Cost of Ownership (TCO). As Certified AWS Solutions Architects and a Select Tier AWS Consulting Partner, we perform this task for our SAS clients on a routine basis. Here is a summary of what we’ve learned from conducting the pricing estimates and TCO savings for these clients.

T-Shirt sizes

assorted color folded shirts on wooden panelFirst, clients tend to fall into one of three “t-shirt” sizes in terms of their SAS data and workload needs, which tends to be driven more by storage than by number of users or number of compute hours.

  • The “small” t-shirt size is characterized by storage requirements between 50-400TB (average of 275TB), with AWS annual compute costs averaging $250,000, and supporting between 25 and 200 SAS users.
  • The “medium” t-shirt size is characterized by storage requirements between 500-1000TB (average of 750TB), with AWS annual compute costs averaging $400,000, and supporting between 20 and 500 SAS users.
  • The “large” t-shirt size is characterized by storage requirements above 1000TB (average of 1.5PB), with AWS annual compute costs averaging $625,000, and supporting more than 500 SAS users.

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Watching the Inventives

Lessons Learned from 5 years of SAS workload migration and modernization

(tip of the cap to Elvis Costello)
Corios specializes in modernizing an enterprise’s legacy SAS data and analytics assets, by migrating them into modern cloud platforms like AWS, and integrating these workloads with open-source frameworks. The Corios Rosetta Scanner is a software and consulting offering that gets this process started by inventorying, scoring and prioritizing all your legacy data and analytics assets, at a very detailed level.
What we’ve learned through these analytics asset inventory projects over the past 18 months is that you can sort and prioritize them along four dimensions: value, cost, risk and transformation potential. Once that’s been accomplished, we’ve identified markers of which strategies are best for each asset: migration, modernization, or even, leaving the existing asset in place (because sometimes, when something’s not broken, it might be preferable to leave it alone).

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Action dashboards for customer-centric sales in Salesforce Einstein Analytics

A heads-up view of sales performance, the funnel, and taking the right actions to move the right deals forward

Corios is a Salesforce Einstein Analytics & Discovery partner, and Salesforce Pardot partner, focused on driving business impact from analytics. We have worked with retail and commercial banks in the past on customer interaction optimization, and on how to move corporate-centric marketing to customer-centric marketing via personalization & optimization.

When Salesforce and one of their retail banking clients shared with us their desire for an action-oriented sales dashboard in Einstein Analytics, we understood immediately how this fits in the organizational evolution to customer-centric optimization and we know the process the organization needs to go through to migrate from ‘gut-level’ marketing to something more guided, analytic and most importantly effective.

What we will show you is how Corios has seen these action dashboards integrated into the branch operations, using roll-up to the enterprise level and down to the banker level.

 

Achieving a Complete View of your Customer – Part 2

Combining Complex Data Systems

When we left off in “How to Combine Complex Data Systems Part 1” we had completed the customering process for a client, finding a single record to represent an individual, and assigning a key id, and were left with one task householding.

Householding can be a more complicated procedure. Once we have contact information, i.e. address, we can start to group customers based on physical address (this is only for retail customers; businesses are treated differently; more on that in a moment). This way we can identify Ben Armstrong and Ben Armstrong Jr as living at the same address; if we want to target households instead of individuals, then we can send a single marketing item to the head of household, rather than each individual. Like the accounts and parties, households are given keys to identify them.

While doing this initially is pretty straightforward, it gets complicated when we have new data. For example, John Smith and Mary live together in our system. If they move to a new address, do they get a new key, or do they keep their existing key? From a marketing point of view, it makes sense for them to keep their key, since the key is really just an arbitrary id used to recognize that they live together. However, what if they move into an address that already exists as belonging to someone else? What if John and Mary move apart; who should keep the key? Either one, neither? These were issues that were resolved by trying to keep end use in mind.  Our client wanted to use this new system for marketing.  Therefore, we continually focused on how to best set up the system to provide the most value to marketing.

Getting back to householding for businesses, that was more straightforward; each business individual was treated as its own household.

This process also incorporated new data, updating contact information, adding new customers, removing customers who left. This was more complicated, but ultimately boiled down to the original ideas, plus rules for managing changes (e.g. how should a particular record be handled if there’s a change?)

With all that we have achieved for our client, we now have the process running on a weekly basis, taking each new source system when it’s available, and running it through the process. At the moment, the process is largely automated, but still requires human intervention to kick off. This intervention involves multiple people for (usually) brief interactions, some of whom are working from different time zones, which, while minor, add up and take away productivity in other areas. Therefore, we’re currently working on completely automating the process.

Automation will be a multi-technology solution; SAS will be used to do most of the actual householding, but python and bash shell scripting will be used to completely automate the procedure, by monitoring the state of the data, and kicking off the process when it’s appropriate to execute.

Once this is done, we’ll end up with a marketing database that requires very little human interaction in maintaining, and will just be a continuously updated database, with the latest information always added to it, which is pretty exciting.

Learn more about “The Corios Way“, or reach out to president@coriosgroup.com to find out how Corios can help.