CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 95

Data Analytics Analytics Data Warehouse Data Lake 95

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. They own two of the top-rated knowledge graph products on the market. How can you build knowledge graphs for enterprise applications?

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Ontotext

NOVEMBER 2, 2023

Organizations that quickly adapt to changing market conditions have a competitive advantage over their peers. Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization.

IT 69

IT Cost-Benefit Data-driven Technology 69

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

JULY 12, 2023

Etleap integrates key Amazon Redshift features into its product, such as streaming ingestion , Redshift Serverless , and data sharing. In Etleap, pre-load transformations are primarily used for cleaning and structuring data, whereas post-load SQL transformations enable multi-table joins and dataset aggregations.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Customer data platform benefits. Customer data platform vendors. Types of CDPs. billion in 2022 to $6.94

Advertising 111

Advertising Interactive Marketing Data Integration 111

IBM Big Data Hub

JUNE 26, 2023

According to the recent statistics released by a local auto industry association, the sales of China’s fuel vehicle market have declined for three consecutive years. With the intensification of the price war, some car companies have even withdrawn from the market.

Software 65

Software Manufacturing Optimization Digital Transformation 65

DataRobot Blog

APRIL 1, 2018

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” We agree with that.

Analytics 40

Analytics IoT Internet of Things B2B 40

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 72

Unstructured Data Data Architecture Data Lake Snapshot 72

Sisense

JULY 22, 2020

Every organization generates and gathers data, both internally and from external sources. The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) External data sources include partners, customers, potential leads, etc.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Juice Analytics

MARCH 27, 2021

The Challenge Let’s say you need to produce the same presentation month after month, updating the data each time. Or maybe you have a set of slides that need to go to a bunch of different audiences each with their own specific market, product, business line, or industry. Try Juicebox -- It's Free!

Reporting 122

Reporting Visualization Interactive Software 122

Jet Global

FEBRUARY 6, 2024

By leveraging data-driven insights and state-of-the-art analytics, organizations can elevate their decision-making processes, enrich user experiences, and gain a competitive edge in the market. Data Security Optimize your team’s development efforts through user-based security and data connector overrides.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. What is the difference between ETL and data pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52