Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Analytics data catalog. Data quality and lineage. Augmented analytics.

Tableau 102

Tableau Data Quality Analytics Analytics 102

Dataconomy

APRIL 27, 2023

However, with the evolution of the internet, the definition of transaction has broadened to include all types of digital interactions and engagements between a business and its customers. The core definition of transactions in the context of OLTP systems remains primarily focused on economic or financial activities.

Database 159

Database Data Scientist Data Mining Data Mining 159

Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Analytics data catalog. Data quality and lineage. Augmented analytics.

Tableau 98

Tableau Data Quality Analytics Analytics 98

phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud? As this happens, spending shifts from ELT to analytics. What kinds of Workloads Does Snowflake Handle?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

IBM Journey to AI blog

JANUARY 23, 2023

No one is going to trust you if they can’t trust your data. As you can see, data governance is no joke. Okay, maybe “fun” is a stretch, but there are definitely ways to make data governance less of a chore. Ensure data quality Regularly check your data for accuracy and completeness.

Data Governance 74

Data Governance Data Silos Data Quality AI 74

Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. IoT devices provide data feeds from smart machinery, monitoring the location and condition of shipping containers and reporting on the health and safety of workers in the field.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Analytics 40

Analytics Analytics Data Silos Data Governance 40

phData

SEPTEMBER 1, 2023

Thankfully, Sigma Computing and Snowflake Data Cloud provide powerful tools for HCLS companies to address these data analytics challenges head-on. In this blog, we’ll explore 10 pressing data analytics challenges and discuss how Sigma and Snowflake can help.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Alation

OCTOBER 5, 2021

Why is your data governance strategy failing? According to the Gartner report, The State of Data and Analytics Governance Is Worse Than You Think , approximately 80% of businesses readily acknowledge that high-quality data governance is essential to achieving long-term business goals, objectives, and outcomes.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

IBM Journey to AI blog

JANUARY 25, 2023

While operational data runs day-to-day business operations, gaining insights and leveraging data across business processes and workflows presents a well-known set of data governance challenges that technology alone cannot solve. Silos exist naturally when data is managed by multiple operational systems.

Data Governance 52

Data Governance Data Silos Data Quality Analytics 52

phData

SEPTEMBER 15, 2023

For businesses utilizing Salesforce as their Customer Relationship Management (CRM) platform, the Snowflake Data Cloud and Tableau offer an excellent solution for scalable and accurate analytics. In order to unlock the potential of these tools, your CRM data must remain synced between Salesforce and Snowflake. Click Settings.

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

Precisely

JUNE 26, 2023

Forward-thinking businesses invest in digital transformation, cloud adoption, advanced analytics and predictive modeling, and supply chain resiliency. 2023 Data Integrity Trends & Insights Results from a Survey of Data and Analytics Professionals Read the report Here are some of the top takeaways that stood out to panelists.

Data Quality 52

Data Quality Data Silos Data Governance Analytics 52

Precisely

AUGUST 19, 2024

With the explosion of data from customers, products, employees, and locations, businesses are under pressure to manage their golden records effectively to ensure accurate analytics, operational efficiency, and risk mitigation. Understanding Master Data and MDM First, let’s begin with a quick definition of master data.

Data Silos 72

Data Silos Data Governance Analytics Analytics 72

Precisely

SEPTEMBER 8, 2023

Data governance teams must establish common data definitions and propose meaningful governance metrics. By visualizing how data flows through an organization’s systems and how it impacts processes, users also gain confidence that there is oversight and transparency with any format, function, and integrity level changes.

Data Governance 52

Data Governance Data Quality Data Silos Big Data 52

phData

MARCH 26, 2024

With its columnar format and unique features, we know that the Snowflake Data Cloud is fantastic at analytical workloads. But what if Snowflake could handle transactional data as well? What insights could you derive from having your transactional and analytical data in one place?

Clustering 52

Clustering Internet of Things Analytics Analytics 52

phData

SEPTEMBER 13, 2023

Advantages One of the main advantages of this approach is that it enables businesses to centralize their data in Snowflake, which can improve data accuracy and consistency. It also permits enterprises to perform advanced analytics on their Salesforce data using Snowflake’s powerful analytics capabilities.

Tableau 52

Tableau Data Pipeline Data Silos Analytics 52

Alation

APRIL 12, 2022

Early CDOs largely sought to ensure compliance with regulations around financial data, taking a defensive posture to guard company and customer information. Two decades on, the role has expanded to include responsibility for analytics, and even data monetization. Promoting Self-Service Analytics. Reducing Data Silos.

Data Quality 52

Data Quality Data Governance Data Silos Data Analyst 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Start small by setting measurable goals and assigning ownership of data domains. Establishing standardized definitions and control measures builds a solid foundation that evolves as the framework matures. Define roles and responsibilities A successful data governance framework requires clearly defined roles and responsibilities.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

IBM Journey to AI blog

JANUARY 18, 2023

One node of the fabric may provide raw data to another that, in turn, performs analytics. These analytics can be exposed as REST APIs within the fabric, so that they can be consumed by transactional systems of record for decision-making. Analytical and transactional worlds come together. Data mesh: A mostly new culture.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

APRIL 14, 2023

Key Highlights As our dependency on data increases, so does the need to have defined governance policies also rises. Tools and Technologies It includes tools like metadata management systems that support data processes and standards. It ensures the safe storage of data. The same applies to data. What is Data Management?

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

DrivenData Labs

MARCH 30, 2023

Generate effective models to accomplish a set of predictive or analytical tasks that support the use cases. Teams competing in the challenge participated in two separate data tracks: Track A dealt with the identification of financial crime, and Track B was about bolstering pandemic forecasting and response.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Heartbeat

DECEMBER 7, 2023

Data should be designed to be easily accessed, discovered, and consumed by other teams or users without requiring significant support or intervention from the team that created it. Data should be created using standardized data models, definitions, and quality requirements. on Twitter: "Data is addictive!

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Alation

JULY 6, 2021

Finally, they need control and authority to make decisions that improve data governance. But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. Siloed Data.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

Pickl AI

DECEMBER 4, 2023

What is Data Intelligence with an example? So, what is Data Intelligence with an example? For example, an e-commerce company uses Data Intelligence to analyze customer behavior on their website. Technologies, tools, and methodologies Imagine Data Intelligence as a toolbox filled with gadgets for every analytical need.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

NOVEMBER 13, 2023

Source: The next big step forward for analytics engineering Picture the hustle it takes to keep that many models in line—ensuring they’re reliable, the dependencies make sense, and the data is solid. In mid-2023, many companies were wrangling with more than 5,000 dbt models.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Flipboard

MARCH 21, 2025

The ability for organizations to quickly analyze data across multiple sources is crucial for maintaining a competitive advantage. SageMaker Unified Studio provides a unified experience for using data, analytics, and AI capabilities. For the simplicity, we chose the SQL analytics project profile.

SQL 140

SQL Data Analyst Data Warehouse AWS 140

DrivenData Labs

SEPTEMBER 10, 2024

Find, curate, or contribute data to create representative and open datasets that can be used for early prediction of AD/ADRD. Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Dr. Reid also teaches Data Science at the University of California at Berkeley.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

Precisely

SEPTEMBER 26, 2024

It’s also important to note that the costs associated with AI are significantly higher than traditional data and analytics, making it essential to identify the most valuable use cases before proceeding with implementation. Ask yourself questions like: Does our data have proper governance and quality controls?

AI 75

AI AI Data Governance Data Quality 75

phData

SEPTEMBER 27, 2024

It enables advanced analytics, makes debugging your marketing automations easier, provides natural audit trails for compliance, and allows for flexible, evolving customer data models. So next time you’re designing your customer data architecture in your CDP, don’t just think about the current state of your customers.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52