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BI

Building interactive data apps with ThoughtSpot

Businesses today run on apps, and those apps run on data. Too often, however, the technical complexity required to surface and explore that data for additional analysis prevents users from doing so. With ThoughtSpot Everywhere, organizations are easily building new data apps powered by the simplicity and ease of use of ThoughtSpot, or adding ThoughtSpot services to their existing SaaS offerings. This is giving them the unprecedented opportunity to create product experiences that stick, monetize data in new ways, and harness data right within existing tools.

Building a Global GCP Platform With Snowflake | Rise of The Data Cloud

Are you looking to build a best-in-class global GCP platform with the Snowflake Data Cloud? Then this episode of Rise of the Data Cloud is for you! In this episode, Mani Gopalakrishnan, VP of Digital Transformation at Kraft Heinz talks about turning technical skills into commodities, how to digitally transform your company, and much more.

Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. In case you missed it, part I starts with a simple case of calculating streaming VWAP. Code and data for this series are available on github. Speed matters in financial markets. Whether the goal is to maximize alpha or minimize exposure, financial technologists invest heavily in having the most up-to-date insights on the state of the market and where it is going.

The value of CDP Public Cloud over legacy Hadoop-on-IaaS implementations

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model.

Security and Business Intelligence: Why it Matters

Companies deal with high volumes of data every day. In fact, 51% of businesses realize a positive difference in their bottom line by using their business intelligence (BI) to predict customer trends. According to one source, the BI market may reach close to $30 billion before the end of 2022. With so much money going into data management and so much resulting from it, the need for effective cybersecurity measures continues to grow by the day.

The search for actionable insights: 4 must-have analytics features

Today, data is constantly growing in complexity and quantity. Ensuring your users consistently find reliable answers from their dashboards and reports for informed decision-making can be difficult if you don't actively guide them on on how to optimally use the analytics tools you provide. However, the challenge is exacerbated by the fact most BI solutions on the market today still tailor their tools to experienced analysts first.