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Proximity Marketing: Leveraging Data for High Effectiveness

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Machine Learning Best Practices

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The Data Life Cycle

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Sales Analytics: improve cross-selling and up-selling

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Snowflake Summit 2022 Recap

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The Future of Data Warehousing

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Leveraging Qlik’s Technology to Bring Change for our Clients

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DEMONSTRATING THE POWER OF THE SNOWFLAKE DATA CLOUD

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Snowflake Healthcare and Life Sciences Data Cloud Launch Partners

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Analytics Insight Recognizes SDG Group as a "Big Data Analytics Company of the Year 2021"

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SDG Group is recognized by Gartner in the 2022 Magic Quadrant™ for Data & Analytics Providers as an Honorable Mention in the D&A service provider market

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2022 DATA & ANALYTICS TRENDS

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Proximity Marketing: Leveraging Data for High Effectiveness

Despite being a subcategory of the shopping experience, proximity marketing is constantly and rapidly evolving, especially in the recent years of technological advancements. With an evergrowing availability of data spreading between people and companies, this type of marketing within consumer products can lead to a better understanding of behavior from potential customers.

Machine Learning Best Practices

Artificial intelligence (AI), machine learning (ML), and data science are transforming modern organizations in new ways. 
The Data Life Cycle

The Data Life Cycle

The Data & Analytics process has a life cycle needed to collect, store, manage, and share data correctly. The cycle includes five interrelated pillars with a symbiotic relationship that allows a company to progress from one pillar to another.

The Five Pillars to Promoting a Data Culture
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