CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

Smart Data Collective

JUNE 11, 2019

Big data can help bridge that gap of wanting to appease customers while making ends meet at the same time. With advanced data analytics , manufacturers can see customer data in real-time. With all of the information available today, many decisions can be driven by big data.

Manufacturing 93

Manufacturing Analytics Big Data Data mining 93

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. To query the data with Athena, complete the following steps: On the Athena console, open the query editor. You’re now ready to query the tables using Athena.

Analytics 100

Analytics IoT Metadata Internet of Things 100

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. Price: Excel is not a free tool. SAS Forecasting.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Cloudera

JANUARY 11, 2018

These companies were able to receive notable benefits from their data collection and aggregation efforts. Data Warehouses and data virtualization may offer some remedy but as it is pointed out in the research…. You can too, as David describes….

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

Sisense

JULY 23, 2021

From an operational data analytics perspective, I would describe Tokyo 2020 as a coming of age Games,” he says. Data will create a better-connected future. It’s important to understand that the Olympic Games are extremely multicultural and that there are different needs in every territory. Chris’ passion around this is evident.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52