datapine

NOVEMBER 19, 2019

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. What is Social Business Intelligence? How Social BI Helps Businesses Attain Success. EXPERT OPINION].

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud Computing.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” billion in revenue.

Digital Transformation 127

Digital Transformation IoT Data-driven KPI 127

CIO Business Intelligence

MAY 16, 2022

The concept of the edge is not new, but its role in driving data-first business is just now emerging. The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses.

IoT 82

IoT Data Warehouse Internet of Things Machine Learning 82

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

CIO Business Intelligence

NOVEMBER 23, 2022

Goals of enterprise architecture EA is guided by the organization’s business requirements — it helps lay out how information, business, and technology flow together. A good EA strategy considers the latest innovations in business processes, organizational structure, agility, information systems, and technologies. Data modeling.

Enterprise 119

Enterprise Cost-Benefit Digital Transformation Strategy 119

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

APRIL 6, 2022

This includes closely monitoring emerging trends, foreseeing market threats, and generating business opportunities in every aspect of work. Infosys Living labs is a set of well-orchestrated innovation services for future-proofing customer businesses and de-risking their emerging technology transformations.

Experimentation 79

Experimentation Data Lake Uncertainty Enterprise 79

Sisense

MARCH 13, 2019

It’s a wise decision, as the substantial benefits have become increasingly self-evident, such as faster decision-making, increased ROI, accelerated development, reduced time-to-market, lower TCO, lower burden on IT, and more empowered users, whatever their background and level of technical know-how. Data Access, Connection, Mashup.

Analytics 69

Analytics Business Intelligence ROI Cost-Benefit 69

CIO Business Intelligence

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Demand for real-time AI is accelerating Software applications enable businesses to fuel their processes and revolutionize the customer experience.

Data Strategy 106

Data Strategy Strategy Machine Learning Data-driven 106

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing data volumes and velocity can reduce the speed that teams make additions or changes to the analytical data structures at data integration points — where data is correlated from multiple different sources into high-value business assets. For data warehouses, it can be a wide column analytical table.

Data Architecture 97

Data Architecture Data Integration IoT Strategy 97

CIO Business Intelligence

JANUARY 20, 2023

Here’s what to consider: Ingesting the data : To be able to analyze more data at greater speeds, organizations need faster processing via high-powered servers and the right chips for AI—whether CPUs or GPUs. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 128

Analytics Key Performance Indicator Unstructured Data IoT 128