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. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

Analytics 83

Analytics Data Lake Metadata Cost-Benefit 83

IBM Big Data Hub

JULY 5, 2023

In the case of Hadoop, one of the more popular data lakes, the promise of implementing such a repository using open-source software and having it all run on commodity hardware meant you could store a lot of data on these systems at a very low cost. Open (sharable) metadata that enables multiple consumption engines or frameworks.

Data Lake 61

Data Lake Metadata Cost-Benefit Data Warehouse 61

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. It will ultimately help them spot new business opportunities, cut costs, or identify inefficient processes that need reengineering.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smart Data Collective

AUGUST 5, 2021

Developed at Databricks, “Delta Lake is an open-source data storage layer that runs on the existing Data Lake and is fully cooperative with Apache Spark APIs. Along with the ability to implement ACID transactions and scalable metadata handling, Delta Lakes can also unify the streaming and batch data processing”. .

Data Processing 143

Data Processing Metadata Broadcasting Statistics 143

IBM Big Data Hub

MAY 9, 2023

For AI to be truly transformative, as many people as possible should have access to its benefits. is not just for data scientists and developers — business users can also access it via an easy-to-use interface that responds to natural language prompts for different tasks. Trust is one part of the equation. The second is access.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. BTW, videos for Rev2 are up: [link]. On deck this time ’round the Moon: program synthesis.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

NOVEMBER 13, 2020

Data science experiment result and performance analysis, for example, calculating model lift. Impala’s planner does not do exhaustive cost-based optimization. Metadata Caching. The new Catalog design means that Impala coordinators will only load the metadata that they need instead of a full snapshot of all the tables.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

DataRobot Blog

SEPTEMBER 1, 2022

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. These and many other questions are now on top of the agenda of every data science team.

Metrics 145

Metrics Statistics Modeling Data Science 145

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Increase trust in AI outcomes.

Risk 71

Risk Modeling Management Metadata 71

Cloudera

AUGUST 31, 2021

Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Yet, these legacy solutions are showing their age and can no longer meet these new demands in a cost-effective manner. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

IBM Big Data Hub

JULY 13, 2023

This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Data science tasks such as machine learning also greatly benefit from good data integrity.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

MARCH 26, 2024

The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services. Data storage Structured, semi-structured, or unstructured batch data is stored in an object storage because these are cost-efficient and durable. Then, you transform this data into a concise format.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Lake 92

Data Lake Cost-Benefit Data-driven Dashboards 92

AWS Big Data

JUNE 14, 2023

As a team of engineers focused on building a single source of truth within Amazon, we wanted a BI tool that was cost-effective, secure, and integrated seamlessly with the other AWS services we use. The teams we serve have benefited from our switch to QuickSight. Reusable – The ultimate goal of FAIRS is to optimize the reuse of data.

Dashboards 76

Dashboards KPI Scorecard Metadata 76

Domino Data Lab

OCTOBER 1, 2020

This data supports all kinds of use cases within organizations, from helping production analysts understand how production is progressing, to allowing research scientists to look at the results of a set of treatments across different trials and cross-sections of the population. PII, PHI, etc).

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Alation

JANUARY 17, 2023

In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? Data ingestion/integration services.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

Domino Data Lab

JANUARY 21, 2021

This blog explores the challenges associated with doing such work manually, discusses the benefits of using Pandas Profiling software to automate and standardize the process, and touches on the limitations of such tools in their ability to completely subsume the core tasks required of data science professionals and statistical researchers.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. Amazon Redshift RA3 instances and Amazon Redshift Serverless are perfect choices for a data vault.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

CIO Business Intelligence

SEPTEMBER 22, 2023

The term “data management platform” can be confusing because, while it sounds like a generalized product that works with all forms of data as part of generalized data management strategies, the term has been more narrowly defined of late as one targeted to marketing departments’ needs.

Management 96

Management Advertising Data Lake Sales 96

IBM Big Data Hub

MAY 9, 2022

Data privacy laws such as the GDPR in the EU, CCPA in California and PIPEDA in Canada have been enacted at the same time businesses are revitalizing efforts to establish data quality, not just data volume. The cost of ignoring these imperatives is staggering. Poor data quality costs organizations an average of $12.9

Management 56

Management Data Quality Metadata Data Integration 56

Cloudera

JUNE 18, 2022

In order to realize the benefits of both worlds — flexibility of analytics in data lakes, and simple and fast SQL in data warehouses — companies often deployed data lakes to complement their data warehouses, with the data lake feeding a data warehouse system as the last step of an extract, transform, load (ETL) or ELT pipeline.

Data Lake 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

Alation

FEBRUARY 17, 2023

You could visualize data governance and data management as two sides of the same coin; while one side specifies the business details, the other implements the control. While it is possible to implement just the technical side, you will miss many aspects that lead to real success with data. Second, think like an executive.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 70

Data Warehouse Cost-Benefit Metadata Management 70

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

CIO Business Intelligence

JUNE 23, 2022

In order to realize the benefits of both worlds—flexibility of analytics in data lakes, and simple and fast SQL in data warehouses—companies often deployed data lakes to complement their data warehouses, with the data lake feeding a data warehouse system as the last step of an extract, transform, load (ETL) or ELT pipeline.

Data Lake 77

Data Lake Data Warehouse Machine Learning Cost-Benefit 77

Octopai

OCTOBER 5, 2021

And while we’re on the topic of manually gathering, centralizing, and inserting information, we’ll tip you off that unless you have access to a whole team of indentured servants, you’re going to want a data catalog that can be constructed as automatically as possible. Total cost of ownership (TCO). Automation is the name of the game.

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. a deeper cloud vs. on-prem cost/benefit analysis raises more questions about moving these complex systems to the cloud: Is moving this particular operation to the cloud the right option right now ? .

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

Timo Elliott

JANUARY 5, 2022

Honestly, data is the closest thing to magic in the modern world. You can use data to improve customer outcomes and cut costs and even make the world a better place at the same time. Yves: I have the feeling that a lot of companies think that they can use their data to their benefit by hiring a data scientist.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Insurance 115

Cloudera

MARCH 6, 2018

Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, management, and security. This leads to extra cost, effort, and risk to stitch together a sub-optimal platform for multi-disciplinary, cloud-based analytics applications. Soon we’ll have Altus Data Science, too!

Analytics 40

Analytics Metadata Recreation/Entertainment Big Data 40

Cloudera

SEPTEMBER 10, 2018

Multidisciplinary analytics are the tools, the different workloads you need: data engineering, data warehousing, data science, and operational analytics. The benefits are realized as soon as more than one workload is deployed. IaaS and private cloud are already supported through our reference architecture.

Analytics 40

Analytics Data Warehouse Cost-Benefit Metadata 40

Cloudera

DECEMBER 7, 2017

That data may be stored multiple times in different pools, each multiplying storage resource costs. That data may be used in ways that don’t comply with appropriate security and governance policies. That data may be hard to discover for other users and other applications. There is a better way.

Management 40

Management Cost-Benefit Machine Learning Metadata 40

Cloudera

SEPTEMBER 6, 2018

Support machine learning (ML) algorithms and data science activities, to help with name matching, risk scoring, link analysis, anomaly detection, and transaction monitoring. Provide audit and data lineage information to facilitate regulatory reviews. Spark also enables data science at scale.

Machine Learning 40

Machine Learning Big Data Risk Unstructured Data 40

Peter James Thomas

AUGUST 29, 2018

Additionally I have a direct set of reports who drive the standard solutions around tooling, governance, quality, data protection , Data Ethics , Metadata and data glossary and models. Helping organisations become “data-centric” is a key part of what you do.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

O'Reilly on Data

JULY 28, 2020

There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources. Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process.

Marketing 361

Marketing Experimentation Metrics Testing 361