Sisense

JUNE 11, 2019

Three trends we want to cover regarding the evolution of Big Data are the continued growth of IoT , the expanded array of querying techniques , and the rise of the cloud. First off, IoT, the Internet of Things. The Internet has always, technically, been on “things”. are all things. What’s Next?

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

CIO Business Intelligence

FEBRUARY 12, 2024

La trasformazione digitale implica il passaggio graduale alla nuova data platform per raccogliere e aggregare i dati dal data lake (con sistemi BIM, Business Information Modelling) e poi metterli su cruscotti e condurre le analisi con la business intelligence.

Digital Transformation 86

Digital Transformation Management Business Intelligence Internet of Things 86

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. All of them generate a trail of performance-tracking data.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 111

Analytics IoT Data-driven Snapshot 111

BizAcuity

MARCH 1, 2019

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. At the backend, based on the data collected, data is stored in data lakes. Evolution of Internet of Things.

IoT 56

IoT Internet of Things Big Data Data-driven 56

datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Sisense

OCTOBER 6, 2020

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Digging into quantitative data. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

In(tegrate) the Clouds

DECEMBER 21, 2015

From AWS Aurora and Redshift for database management and data warehousing, to AWS GovCloud, which brings public cloud options to US government agencies, AWS continues to set the cloud computing standard for enterprise IT organizations and independent software vendors (ISVs). 2016 will be the year of the data lake.

Technology 45

Technology Internet of Things Digital Transformation Software 45

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected.

Management 76

Management Metadata Testing Internet of Things 76

CIO Business Intelligence

JULY 17, 2023

Technology has enabled us to operate in a very cost competitive market, allowing us to do more with fewer people. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI? We need to define our business objective before adopting those new tools, because AI is simply algorithm.

IT 87

IT Digital Transformation IoT Internet of Things 87

CIO Business Intelligence

MAY 24, 2022

It also revealed that only 37 percent of organisational data being stored in cloud data warehouses, and 35 percent still in on-premises data warehouses. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. zettabytes of data. Oil and Gas.

Data-driven 83

Data-driven Data Lake Data Warehouse Cost-Benefit 83

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). This is going to be a significant area of investment for us given our customer interest, the industry trends and the market potential.

IoT 72

IoT Prescriptive Analytics Digital Transformation Internet of Things 72

CIO Business Intelligence

APRIL 18, 2023

By: Gayle Levin, Senior Product Marketing Manager for Wireless at Aruba, A Hewlett Packard Enterprise Company. 2] AIOps can help identify areas for optimization using existing hardware by combing through a tsunami of data faster than any human ever could. Adopt AI to better leverage existing hardware investments.

IoT 52

IoT Internet of Things Data Lake Optimization 52

Alation

AUGUST 2, 2022

This makes the digital channel even more powerful, but only if customer data is used wisely. By considering the buyer’s journey across the marketing, sales, and customer service funnels, you can build long-term relationships that enhance revenue and enable long-term growth. Siloed Customer Data. Product/service usage data.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Alation

FEBRUARY 20, 2020

Data helps with both of these challenges. Data is the mechanism for resolving questions. Whether the question is about a new feature or a new market, data provides the evidence — the scientific method for validating a hypothesis — that drives the company forward. The Role of the Chief Data Officer (CDO).

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52