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5 Tips For Achieving Business Model Innovation

BA Learnings

According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Failing to adjust one’s business model to suit the ever-dynamic business environment can threaten and diminish the longevity of any business.

Modeling 130
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5 Tips On Achieving Business Model Innovation

BA Learnings

According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Failing to adjust one’s business model to suit the ever-dynamic business environment can threaten and diminish the longevity of any business.

Modeling 130
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I Am Done Using Visual Studio!

Paul Turley

for BI data model development. For several years, Visual Studio has been my go-to tool for designing semantic data models used for Business Intelligent reporting. In 2012 when Microsoft began the transition from on-disk cubes to in-memory SSAS Tabular models, I used SQL Server Data Tools (SSDT) to create tabular models.

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Structural Evolutions in Data

O'Reilly on Data

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And it was good.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Demand for data scientists is surging.

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Fauna’s Data Platform Combines Agility and Transaction Integrity

David Menninger's Analyst Perspectives

Fauna was founded in 2012 by software infrastructure engineers Evan Weaver and Matt Freels to develop the cloud-native transactional database product they would have liked to have had at their disposal in their former roles at what was then known as Twitter (now X). Fauna describes its product as a document-relational database.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.