White Papers

 

White Papers


Predictive Analytics for Customer Experience Management
Mosaic Data Science

Using data to inform your marketing, sales, and customer experience decisions is increasingly essential for business success. If businesses fail to provide personalized customer experiences, they face the loss of brand equity, market share and — most importantly — loyal customers. Today’s consumers have more access to information than ever before. Information like where to shop, what to buy, and how much to pay are all at consumers’ fingertips. Companies that embrace new data streams and model them with internal data sources like historical sales and demand data will provide enhanced, more focused experiences, keeping and growing their valued customer-base.
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Dispatch Routing Optimization
Mosaic Data Science

This case has gained popularity in the commercial market with plenty of companies needing to move plenty of product. Software providers and consultancies have jumped at the opportunity to design algorithmic approaches for minimizing transportation costs and maximizing profits. As technologies make it economical for companies to acquire and store data, organizations can integrate previously unknown variables such as weather, real-time asset locations, inventory levels, transactions, etc.
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Two Data Science Proofs of Concept for Utilities
Mosaic Data Science

The Energy industry holds multiple predictive analytics and data science opportunities. One large utility hired a management consulting firm to study their data process. The management consultants identified over $300 Million of value by utilizing the data this utility had already collected over many years. With the rise of the Internet of Things (IoT) and data collection technologies becoming more accessible, utility companies have a wealth of data to mine.
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speech-bubbleUsing Data Science to Score Marketing Content
Mosaic Data Science

The growth of the Internet in recent years has caused an evolution in on-line advertising. Static advertisements gave way to dynamic pop-up and banner advertisements which now, in turn, have given way to organic, or “native,” marketing content that blends in with the Internet viewing experience.
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teamSoftware AG Partnership Fact Sheet
Mosaic Data Science

Advancements in data collection and integration technology allow companies to gain access to information previously thought impossible. With this wealth of data comes the need to analyze it in real time so companies can become data-driven decision-makers.
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pic-reducingemployeeturnoverUsing Data Science to Reduce Employee Turnover
Mosaic Data Science

Management scientists have studied for decades how to recruit, motivate, and retain employees. These three issues are closely related, so that one cannot effectively address any of them without addressing all of them to some degree. In particular, a highly motivated employee is far less likely to leave; while recruiting an employee who poorly matches the organization culture or job requirements will make it difficult, and perhaps undesirable, to retain the employee.
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pic-casestudy1Standing up a Data Science Group
Mosaic Data Science

Many large corporations have recognized that data science creates significant revenue-enhancement or cost-reduction opportunities. Historically, data science work has mostly been the purview of experts such as industrial engineers, clinical researchers, market researchers, advanced business…
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pic-casestudy-datavalueThe Value of Information in the Age of Big Data
Mosaic Data Science

This white paper explores how traditional models of the value of information (VoI) can be extended effectively to account for uncertainties presently inherent in gathering and analyzing big data. To illustrate the challenge, we explore the VoI an automobile manufacturer may derive by engineering…
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pic-whitepaper-edwWhy Enterprise Data Warehouse Projects
Fail, and What to do About it

Mosaic Data Science

Everyone knows data warehouses are risky. It is an IT truism that enterprise data warehouse (EDW) projects are unusually risky. One paper on the subject begins, “Data warehouse projects are notoriously difficult to manage, and many of them end in failure.” A book on EDW project management reports that…
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