CIO Business Intelligence

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . compounded annual growth from 2019 to 2024. .

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Ontotext

JUNE 10, 2021

They should be able to continuously integrate data across multiple internal systems and link it to data from external sources. To be able to automate these operations and maintain sufficient data quality, enterprises have started implementing the so-called data fabrics , that employ diverse metadata sourced from different systems.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

AWS Big Data

JUNE 6, 2023

Since we started exporting GA tracking data to BigQuery in 2015 the amount of data tracked and stored has grown 70x (logical bytes) and is >3TB in total. Our solution needs not only be able to ingest new data but also backfill historical data from the last 7 years. It was great for quick iteration over a new feature.

Analytics 55

Analytics Data Lake Testing Optimization 55

O'Reilly on Data

MARCH 31, 2020

Many consumer internet companies invest heavily in analytics infrastructure, instrumenting their online product experience to measure and improve user retention. It turns out that type of data infrastructure is also the foundation needed for building AI products. O’Reilly Strata Data & AI Conference.

Management 333

Management Machine Learning Experimentation Metrics 333

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. OwlDQ — Predictive data quality.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. Security: It must serve data throughout a system.

Data Governance 86

Data Governance Metadata Data-driven Enterprise 86

CIO Business Intelligence

MARCH 31, 2022

NewVantage Partners’ Data and AI Leadership Executive Survey 2022 , on the other hand, found that 74% of the firms it surveyed had appointed chief data or analytics officers, or both combined in one role. Chief data officer job description. To whom should the chief data officer report?

Consulting 134

Consulting Strategy Data Strategy Data Governance 134

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

JANUARY 22, 2019

It enables orchestration of data flow and curation of data across various big data platforms (such as data lakes, Hadoop, and NoSQL) to support a single version of the truth, customer personalization, and advanced big data analytics. Cloudera Enterprise Platform as Big Data Fabric.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

datapine

DECEMBER 4, 2019

These systems can already speak, write, read and learn; hence, this is one of the big data buzzwords that will continue to disrupt industries in 2020 as well. Mobile Analytics. As we mentioned in our business intelligence buzzwords article for 2019 , mobile usage is becoming an increasing factor in BI. Augmented Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

JUNE 5, 2024

Few sports are so closely associated with data analytics as baseball. In 2015, Major League Baseball revolutionized a sport already known for its sophisticated use of data with MLB Statcast, a tracking technology that collects enormous amounts of game data.

Optimization 121

Optimization Predictive Modeling Data-driven Modeling 121