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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.

Data 451
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Peer Discussion Highlights on Best Practices in Marketing Data Strategy

Forrester IT

At the recent peer discussion with Forrester clients on the topic of best practices in marketing and sales data strategy and management, we discovered that data quality, ownership and aggregation among others are common issues and shared experiences on their resolution.

Strategy 448
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?Data Quality Is Now The Primary Factor Limiting GenAI Adoption?

Forrester IT

With the rapid advancement of genAI technology available to businesses even without highly specialized skills, internal data quality is now the primary limiting factor standing in the way of genAI enablement.

Data 419
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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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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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Breaking Down The US Executive Order To Protect Americans’ Sensitive Personal Data

Forrester IT

President Biden issued an executive order to “protect Americans’ sensitive personal data from exploitation by countries of concern.”

Data 411
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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.

Security 370
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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Leveraging Data Analytics to Build a Truly Connected and Collaborative Supply Chain

This GEP-sponsored report will show you how to leverage data for a collaborative supply chain that delivers results and how to future-proof supply chain management strategies. The C-suite is laser-focused on supply chain performance.

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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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How One Manufacturer Used GEP SOFTWARE To Save $45M in Direct Material Sourcing

In response to these challenges, a leading heavy equipment manufacturer selected GEP to redesign its source-to-contract processes and implement a convergent data model to help manage procurement data across its multiple locations.

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Lessons Learned in PostgreSQL®

Instaclustr expert Perry Clark outlines immediate actions to minimize risks, ensuring a swift response to ransomware threats and protecting critical data assets. The guide explores troubleshooting techniques for data recovery, emphasizing essential questions to comprehend the full impact of an attack.

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Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.

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Ultimate Guide to the Cloud Data Lake Engine

Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. Key takeaways from the guide include: Why you should use a cloud data lake engine. What workloads are suitable for cloud data lake engines.

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From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.