Smart Data Collective

APRIL 29, 2020

Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Data transformation.

Management 85

Management Data Warehouse Digital Transformation Dashboards 85

Alation

MAY 11, 2023

Our growth and further expansion of our team in the region underscores the strong demand for global cloud services and data intelligence , highlighting the tremendous market opportunity for digital transformation. And we’re not done growing our team yet!

Digital Transformation 52

Digital Transformation B2B Marketing Data Processing 52

AWS Big Data

APRIL 26, 2023

For historic reasons, the required data for this aggregation step is siloed and represented differently in diverse systems. Because each source system and data type have its own schema and format, it’s particularly difficult to perform analytics based on this data.

Manufacturing 118

Manufacturing Forecasting Data Lake Big Data 118

Alation

MAY 11, 2023

Our growth and further expansion of our team in the region underscores the strong demand for global cloud services and data intelligence , highlighting the tremendous market opportunity for digital transformation. And we’re not done growing our team yet!

Digital Transformation 40

Digital Transformation B2B Marketing Data Processing 40

Cloudera

APRIL 12, 2021

As Cussatt put it, “data transformation isn’t about the IT, but about enabling the mission to be able to serve the veterans.” Digital transformation can be an overwhelming undertaking. Join us for Emerging Tech Day on April 21 for more on how to maximize your agency’s digital transformation. .

Enterprise 52

Enterprise IT Digital Transformation Data Warehouse 52

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

Data Quality 71

Data Quality Metrics Data-driven Visualization 71

Anmut

MARCH 24, 2022

Over 70% of digital transformations fail, and most CDOs last less than two-and-half years. It’s possible to finally break the bad data cycle and achieve true data transformation — and it all starts with gaining a fundamental understanding of your organisation’s data landscape.

ROI 52

ROI Measurement Data-driven Data Transformation 52

AWS Big Data

NOVEMBER 15, 2023

BMW Cloud Efficiency Analytics (CLEA) is a homegrown tool developed within the BMW FinOps CoE (Center of Excellence) aiming to optimize and reduce costs across all these accounts. In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena.

Dashboards 91

Dashboards Analytics Metadata Optimization 91

CIO Business Intelligence

DECEMBER 6, 2023

Often, tech vendors act as an extended workforce, providing manpower and technological expertise for their client’s digital transformation journey. An IDC report estimated the global IT developer shortage will reach four million by 2025, leaving businesses struggling to accelerate digital transformation without the needed workforce.

Digital Transformation 115

Digital Transformation Software Cost-Benefit Modeling 115

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. Because data is one of the success elements of a digital agenda or digital transformation agenda.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 92

Visualization Dashboards Data-driven Gap analysis 92

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. The support to run Spark SQL through the StartJobRun API in EMR on EKS has further enabled FINRA’s innovation in data analytics.

Big Data 77

Big Data Data Processing Interactive Testing 77

bridgei2i

SEPTEMBER 3, 2020

My name is Arjun Shenoy, and I help companies succeed in their AI-enabled digital transformation efforts. I’m a director with BRIDGEi2i, and I focus on building assets and solutions that support execution and quick ROI on client’s digital programs. Transcript. Arjun: Hey, hi there.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

IBM Big Data Hub

JULY 17, 2023

Visual modeling: Delivers easy-to-use workflows for data scientists to build data preparation and predictive machine learning pipelines that include text analytics, visualizations and a variety of modeling methods. ” Raman Venkatraman, CEO of STL Digital Watsonx.data is truly open and interoperable.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. In other words, they use data to heal more people and save more lives.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

Data Warehouse 141

Data Warehouse Digital Transformation Reporting Data-driven 141

Rocket-Powered Data Science

MARCH 20, 2023

This is where we dispel an old “big data” notion (heard a decade ago) that was expressed like this: “we need our data to run at the speed of business.” Instead, what we really need is for our business to run at the speed of data. Datasphere is not just for data managers.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Alation

JULY 18, 2022

That was the message — delivered a little more elegantly than that — at Databricks’ Data+AI Summit 2022. As a proud Databricks partner , Alation joined the data and analytics community for three days of keynotes, leadership remarks, and breakout sessions during the last week of June in San Francisco. Destination Lakehouse.

ROI 52

ROI Metadata Data Lake Digital Transformation 52

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices.

Analytics 93

Analytics Data Lake Metadata Cost-Benefit 93

Sisense

MAY 14, 2019

I am incredibly proud and excited that Periscope Data is combining forces with Sisense in a merger that makes it possible to deliver the premier end-to-end BI and analytics platform that is unmatched in the industry. To be sure, data expertise is not enough. Built for Builders.

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 85

Data Lake Data Warehouse Data-driven B2B 85

Alation

NOVEMBER 22, 2022

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. Why Is Data Governance In The Public Sector Important?

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52