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Data Analytics

20 posts
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  • Big Data
  • Data
  • Design

From Raw Data To Actionable Insights: The Power Of Data Aggregation

Data aggregation is the process of collecting data to present it in summary form. This information is then used to conduct statistical analysis and can also help company executives make more informed decisions about marketing strategies, price settings, and structuring operations, among other things. Data aggregation is typically performed on a large scale via software programs known as data aggregators. These tools spread a company’s data to several different publishing websites such as social media platforms, search engines, and review sites. Data scientists and analysts are the most common users of data aggregation tools and data aggregation software. Benefits of…
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  • Data
  • Design
  • Engineering

Effective Strategies To Closing The Data-Value Gap

We have been going through a phenomenal amount of technological advances in the space of big data and cloud, driven by the organizations’ needs to get value out of data. It’s a given that data drives innovation, but business needs are changing more rapidly than processes can accommodate, resulting in a widening gap between data and value. Luckily, there are proven strategies that organizations can utilize to close the data-value gap. According to McKinsey, top performing organizations who see the highest returns from Artificial Intelligence (AI) are more likely to follow strategy, data, models, tools, technology and talent best practices.…
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  • Data
  • Machine Learning
  • Platforms

Coop Reduces Food Waste By Forecasting With Google’s AI And Data Cloud

Although Coop has a rich history spanning nearly 160 years, the machine learning (ML) team supporting its modern operations is quite young. Its story began in 2018 with one simple mission: to leverage ML-powered forecasting to help inform business decisions, such as demand planning based on supply chain seasonality and expected customer demand. The end goal? By having insight into not only current data but also projections of what could happen in the future, the business can optimize operations to keep customers happy, save costs, and support its sustainability goals (more on that later!). Coop’s initial forecasting environment was one…
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  • Data
  • Engineering

BigQuery Under The Hood: Behind The Serverless Storage And Query Optimizations That Supercharge Performance

Customers love the way BigQuery makes it easy for them to do hard things — from BigQuery Machine Learning (BQML) SQL turning data analysts into data scientists, to rich text analytics using the SEARCH function that unlocks ad-hoc text searches on unstructured data. A key reason for BigQuery’s ease of use is its underlying serverless architecture, which supercharges your analytical queries while making them run faster over time, all without changing a single line of SQL. In this blog, we lift the curtain and share the magic behind BigQuery’s serverless architecture, such as storage and query optimizations as well as…
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  • Data
  • Design
  • Engineering
  • Tools

Sumitovant More Than Doubles Its Research Output In Its Quest To Save Lives

Here at Sumitovant, we’re developing next-generation therapies for treating cancer, life-threatening immune disorders in infants, women’s health issues, and other medical conditions. Thankfully, increasing access to anonymized medical data, pharmaceutical studies, clinical trial results, and other third-party data sources gives our medical teams and physician customers more information than ever before about treatments’ efficacy and adoption. However, as we’ve added data sources, we’ve learned that more data doesn’t automatically translate into better insights. We can’t expect anyone to look at 80 million rows in a spreadsheet to answer a question. But with Looker, we can give anyone a dashboard that…
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  • Data
  • Engineering
  • Tools

Built With BigQuery: How Sift Delivers Fraud Detection Workflow Backtesting At Scale

Sift is one of the leaders in digital trust and safety, that empower digital disruptors of Fortune 500 companies to unlock new revenue without risk using machine learning to provide fraud detection services. Sift dynamically prevents fraud for many abuse categories through industry-leading ML-based technology, expertise, and an impressive global data network of over 70 billion monthly events. Sift’s platform offers customers to configure workflows using an intuitive UI to automate fraud detection, accommodating highly critical business actions like blocking a suspicious order, applying additional friction (such as requesting MFA) to a transaction, or processing a successful transaction. Customers can…
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  • Data

Understand And Trust Data With Dataplex Data Lineage

Today, we are excited to announce the general availability of Dataplex data lineage — a fully managed Dataplex capability that helps you understand how data is sourced and transformed within the organization. Dataplex data lineage automatically tracks data movement across BigQuery, BigLake, Cloud Data Fusion (Preview), and Cloud Composer (Preview), eliminating operational hassles around manual curation of lineage metadata. With rising data volume spread across data silos, it can be challenging for organizations to ensure users have a self-service mechanism to discover, understand and trust the data. Organizations constantly struggle with questions such as: To answer the above questions, organizations…
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  • Data
  • Data Science
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  • Engineering
  • People

How Data-Driven Coaching Helps Employees Reach Their Potential

Data is everywhere. In the business world alone, we use it to track search engine traffic, monitor website activity, land sales, improve customer service — you name it. One area where data doesn’t get enough attention (or application) is employee development. When properly applied, data can guide employees and coaches alike as they attempt to upskill and improve performance. How Data Improves HR Before we break down data in relation to coaching, let’s talk about its influence on human resources as a whole. It’s easy to look at HR as a human-to-human activity. Recruiters use “gut instinct.” Coaching requires that savvy veteran…
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  • Artificial Intelligence
  • Platforms
  • Technology

Built With BigQuery And Google AI: How Glean Enhances Enterprise Search Quality And Relevance For Teams

Context AboutGlean Glean searches across all your company’s apps to help you find exactly what you need and discover the information you need to do your best work. It delivers powerful, unified enterprise search across all workplace applications, websites, and data sources used within an enterprise. Search results respect the existing permissions from your company’s systems, so users only see what they already have permission to see. Glean’s enterprise search also takes into account your role, projects, collaborators, and the language and acronyms specific to your company to deliver highly personalized results that provide you with information most pertinent to…
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  • Artificial Intelligence
  • Design
  • Engineering

8 Ways To Cut Costs And Drive Profits Using Data And AI

We are increasingly seeing one question arise in virtually every customer conversation: How can the organization save costs and drive new revenue streams? Everyone would love a crystal ball, but what you may not realize is that you already have one. It’s in your data. By leveraging Data Cloud and AI solutions, you can put your data to work to achieve your financial objectives. Combining your data and AI reveals opportunities for your business to reduce expenses and increase profitability, which is especially valuable in an uncertain economy. Google Cloud customers globally are succeeding in this effort, across industries and…
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