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Your Data Culture Is DOA

Forrester IT

In our 2023 Data Literacy and Culture Survey, we uncovered key insights about the state of data culture in organizations. Don't miss out on gaining a competitive advantage by revitalizing your data culture.

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How AI Can Scale Data Analytics

IT Toolbox

Learn how AI transforms data processes, enhancing efficiency, accuracy, and insights for better decisions. The post How AI Can Scale Data Analytics appeared first on Spiceworks.

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Outcomes Drive Your Data Architecture Strategy

Forrester IT

The mark of an insight driven business is a data architecture strategy grounded on business outcomes. Unfortunately, investments to modernize data platforms have historically led to solving the challenges, bottlenecks, and objectives of IT.

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Data Privacy & Data Quality Driving Success in Direct Marketing

IT Toolbox

Data quality and privacy-consciousness can help drive your campaigns’ success. The post Data Privacy & Data Quality Driving Success in Direct Marketing appeared first on Spiceworks.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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Google Drive Loses Months of Data of Some Users

IT Toolbox

In some cases, the data loss issues have gone back as far as May 2023. The post Google Drive Loses Months of Data of Some Users appeared first on Spiceworks.

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The State Of Data Security, 2023

Forrester IT

Data is everywhere. What constitutes sensitive data for organizations today has greatly expanded in type and format. In my latest report, The State Of Data Security, 2023, we reviewed and analyzed Forrester survey data to identify the key data security trends of the year.

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. 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. Collecting and accessing data from outside sources.

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6 Steps to More Streamlined Data Modeling

Discover a streamlined methodical approach to Apache Cassandra® data modeling. Are you a developer, database architect, or database administrator that's new to Cassandra, but been tasked with developing a plan for implementing the technology anyway? Worry no more.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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Data Science Fails: Building AI You Can Trust

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully. Download the report to gain insights including: How to watch for bias in AI.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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10 Rules to More Streamlined Data Modeling

Apache Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it. Learn 10 rules that will help you perfect your Kafka system to get ahead.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Download the whitepaper to learn about Monetizing Analytics Features, and Why Data Visualizations Will Never Be Enough. Five years ago they may have. But today, dashboards and visualizations have become commonplace.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.