IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. The benefit of speaking data, a.k.a.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

BI-Survey

FEBRUARY 14, 2022

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Particularly in dynamic markets, up-to-date information is essential for well-founded decisions. With increasingly dynamic markets and competition, up-to-date information is essential to make well-founded decisions.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

FEBRUARY 20, 2020

there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

CIO Business Intelligence

NOVEMBER 14, 2022

While many organizations still struggle to get started, the most innovative organizations are using modern analytics to improve business outcomes, deliver personalized experiences, monetize data as an asset, and prepare for the unexpected. Being locked into a data architecture that can’t evolve isn’t acceptable.”

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

CIO Business Intelligence

APRIL 12, 2022

Further, the tools and devices available on the market are proprietary and prone to vendor lock-in. That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Ultimately, businesses didn’t have the ability to analyze this data, gain insights or build apps around the outputs.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105