CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

TDAN

AUGUST 15, 2023

Nearly every data leader I talk to is in the midst of a data transformation. As businesses look for ways to increase sales, improve customer experience, and stay ahead of the competition, they are realizing that data is their competitive advantage and the key to achieving their goals. And it’s no surprise, really.

Data Transformation 52

Data Transformation Sales Metadata Data Governance 52

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. Creating a High-Quality Data Pipeline.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

SEPTEMBER 13, 2024

CFM takes a scientific approach to finance, using quantitative and systematic techniques to develop the best investment strategies. Using social network data has also often been cited as a potential source of data to improve short-term investment decisions. Each team is the sole owner of its AWS account.

Interactive 83

Interactive Strategy Cost-Benefit Data Governance 83

TDAN

MARCH 16, 2021

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].

Data Transformation 98

Data Transformation Risk Management Risk Data Strategy 98

TDAN

JUNE 15, 2021

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes.

Data Transformation 98

Data Transformation Management Risk Management Risk 98

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

AWS Big Data

APRIL 19, 2023

Conclusion Data-driven organizations are transitioning to a data product way of thinking. Utilizing strategies like data mesh generates value on a large scale. We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML.

Technology 89

Technology Data-driven Machine Learning Sales 89

AWS Big Data

AUGUST 19, 2024

In this post, we explore how AWS Glue can serve as the data integration service to bring the data from Snowflake for your data integration strategy, enabling you to harness the power of your data ecosystem and drive meaningful outcomes across various use cases. For more information on AWS Glue, visit AWS Glue.

Analytics 103

Analytics Data-driven Data Integration Data Lake 103

Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. Here’s how automated data lineage can transform these challenges into opportunities, as illustrated by the journey of a health services company we’ll call “HealthCo.”

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Octopai

JANUARY 19, 2021

Octopai is the first BI Intelligence platform to analyze Azure Data Factory in hybrid BI environments, providing automated data lineage and discovery and will continue to announce the early support of more platforms as part of an overall strategy to have one centralized view of the entire BI landscape. “We

Metadata 52

Metadata ROI Machine Learning Data Quality 52

Peter James Thomas

OCTOBER 30, 2018

Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation). It may well be that one thing that a CDO needs to get going is a data transformation programme. It may be to improve Data Quality.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

IBM Big Data Hub

MARCH 14, 2024

This is supported by automated lineage, governance and reproducibility of data, helping to ensure seamless operations and reliability.    IBM and AWS have partnered to accelerate customers’ cloud-based data modernization strategies.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

Anmut

APRIL 6, 2022

We’ve done our best to help you understand what a data asset is and why treating data as an asset is a smart strategy for your business. Now we’d like to discuss how you can start extracting maximum value from your data by taking a closer look at what data asset management looks like in practice.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Curious to learn how the data catalog can power your data strategy?

Metrics 52

Metrics Dashboards Sales Reporting 52

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. It doesn’t have to be this way.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Alation

JANUARY 17, 2023

Data literacy — Employees can interpret and analyze data to draw logical conclusions; they can also identify subject matter experts best equipped to educate on specific data assets. Data governance is a key use case of the modern data stack. Who Can Adopt the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

FineReport

JUNE 7, 2024

Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions. Domo Domo , a trailblazer in the realm of data visualization companies , continues to redefine how organizations harness the power of data for informed decision-making.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Alation

AUGUST 11, 2022

But there are only so many data engineers available in the market today; there’s a big skills shortage. So to get away from that lack of data engineers, what data mesh says is, ‘Take those business logic data transformation capabilities and move that to the domains.’ Subscribe to Alation's Blog.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

CIO Business Intelligence

JUNE 14, 2022

So if funding and C-suite attention aren’t enough, what then is the key to ensuring an organization’s data transformation is successful? Companies that commit to treating data as a product and to transforming their culture are the ones that succeed, says Doug Laney, innovation fellow of data and analytics strategy at West Monroe.

Data Transformation 145

Data Transformation Data-driven Data Strategy Strategy 145

AWS Big Data

OCTOBER 30, 2024

After connecting, you can query, visualize, and share data—governed by Amazon DataZone—within the tools you already know and trust. Joel Farvault is Principal Specialist SA Analytics for AWS with 25 years’ experience working on enterprise architecture, data governance and analytics, mainly in the financial services industry.

Visualization 113

Visualization Data Lake Testing Data Governance 113

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

AWS Big Data

OCTOBER 30, 2024

When you’re connected, you can query, visualize, and share data—governed by Amazon DataZone—within Tableau. Solution walkthrough: Configure Tableau to access project-subscribed data assets To configure Tableau to access project-subscribed data assets, follow these detailed steps: Download the latest Athena driver.

Analytics 99

Analytics Visualization Data Governance Data-driven 99

AWS Big Data

DECEMBER 4, 2024

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. Nodes and domains serve business needs and are not technology mandated.

Metadata 89

Metadata Data Governance Data Quality Data-driven 89

CIO Business Intelligence

JANUARY 24, 2024

This flexibility renders agent assemblies an essential element in contemporary automation strategies. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. Making strategic decisions like adjusting marketing strategies, reallocating resources, or initiating specific business processes.

IoT 118

IoT Machine Learning Internet of Things Optimization 118

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Ontotext

FEBRUARY 12, 2024

Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh. Once accomplished, an effective implementation spurs a mindset in which organizations prioritize and value data for decision-making, formulating strategies, and day-to-day operations.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

IBM Big Data Hub

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

Birst BI

FEBRUARY 25, 2020

Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams. Birst’s real-time connectivity to Snowflake delivers a full-stack BI solution with enterprise-grade security, data governance & auditing for organizations of any size and scale.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 14, 2024

It offers a transparent and accurate view of how data flows through the system, ensuring robust compliance. Data Transformation and Modeling Jet’s low-code environment lets your users transform and model their data within Fabric, making data preparation for analysis easy.

Analytics 52

Analytics Management Reporting Data Quality 52