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Tactical Advisory
Analytics
How do we bend the future to our advantage? When considering how to leverage our understanding of data, this might be the most interesting riddle we face. In other words, how best to leverage our understanding of data to take management action to alter outcomes.
Prescriptive analytics focus decisions to “nudge” the organization away from undesirable future states and towards desirable future states. Optimizing for these desirable future outcomes can take hundreds, or even thousands of iterations. Beginning the journey is the first step.
Clean Data believes that all firms, regardless of IT staff girth, experience, and skillsets, should benefit from predictive analytics. We want to answer the question, “what will happen?” When applied to Sales, it’s called forecasting. When applied to Finance, it’s called modeling. But in any case, it shouldn’t end there.
The more interesting riddle is, “how do we bend the future to our advantage?” In other words, how best to leverage our understanding of data to take management action to alter outcomes. What data patterns exist that suggest undesirable outcomes can be mitigated or situations improved. Management practices are at their best when contemplating hypotheses grounded in data. Predictive analytics is not rocket science, but it can be a game changer. Clean Data can help you set a course for implementation.
Data science, like predictive analytics, is considered as a bit of a buzzword. At one level, data science is simply the pursuit of insights. Why do banking customers default on loans? But unlike traditional analytics, data science leverages statistics, bespoke programming, and deep domain expertise to find outliers as much as patterns. It requires skills usually reserved for mathematicians and other specialty fields. Hiring these applied skills can be challenging. Tap into Clean Data’s network of data science experts now to attack specific opportunities in your business under our guidance.
Data Platforms
Organizations naturally emphasize getting the data platform technology decision right. Whether Snowflake, Big Query, or another cloud-based option, management teams want to turn off high-cost legacy data warehouses, resolve technical debt, and create a cost effective data environment capable of serving needs for years to come.
But often, “legacy” burdens happen not because the wrong technologies were chosen, but because technologies chosen were implemented in the wrong ways. Moving from Greenplum to Snowflake, for example, doesn’t solve the “legacy” problem if the methods and practices one uses to implement Snowflake are the same as those used to implement Greenplum.
Clean Data prescribes a data platform landscape grounded in agility, efficiency, and resiliency. It’s a proactive and organized data management mindset that leads to maximum value.
Fractional CDO Engagements
Clean Data offers fractional CDO assignments to those organizations that are between hires, or otherwise in need of some management help. Our part-time executive placements fill gaps in domain leadership and applied decision-making.
Technology Assessment
Investing in the right tech and tools can make the difference between successfully moving your data practice forward, or perpetuating status quo efforts and lackluster results. Software vendors, generally, aren’t terribly helpful with their well-funded marketing machines and self-serving messaging. There are no silver bullets. But there are better choices.
Data Driven - Digital Marketing
Clean Data offers data-driven targeted marketing services. These are ideal for organizations not only seeking to grow their customer base, but more importantly, getting to know exactly who their customers are. Data provides the means. Clean Data provides the way.
