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 134

Digital Transformation IoT Data-driven KPI 134

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Thanks to The OLAP Report for lots of great market materials.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. The most common big data use case is data warehouse optimization.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 84

Data Processing IoT Cost-Benefit Digital Transformation 84

Cloudera

DECEMBER 20, 2022

In that sense, access to the auction is more conservative and can lead to inefficiencies in the use of assets, as some of the energy produced may be discarded if it is not saleable in the intraday market. Lastly, we examine retail companies, the energy marketers. Towards a better customer experience.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

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. Large Scale Implementation: Infosys is a global IT giant and market leader with 40+ years of vast experience in implementing large and complex programs.

Experimentation 89

Experimentation Data Lake Uncertainty Enterprise 89

CIO Business Intelligence

NOVEMBER 23, 2022

This has become a priority for businesses that are trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation. Data warehouse. Data modeling. Artificial intelligence (AI). Microsoft Azure. Business intelligence. Strategy development.

Enterprise 127

Enterprise Cost-Benefit Digital Transformation Strategy 127

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. 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.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Cloudera

JUNE 7, 2021

For customers, this opens up massive new opportunities within the Cloudera stack to incorporate existing data footprints with streaming sources. We believe this new capability will unlock net new capabilities for use cases in IoT, Finance, Manufacturing and more. We hope you are as excited as we are for the future of streaming data.

Analytics 62

Analytics Manufacturing Measurement IoT 62

Cloudera

AUGUST 30, 2018

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. It’s hard for CIOs and CDOs to keep up and make the right technology decisions in a rapidly changing and disruptive, yet innovative, market. Tough decisions. Complex scenarios.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

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. Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

Alation

FEBRUARY 13, 2020

ideas because people start thinking about what would happen if I join that data source that I have with data that you have. Maybe some new insight comes out, and we can eventually take that and market it and put it in a new product along that insight. You have over 2,000 people utilizing the platform, what about data sources?

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Cloudera

OCTOBER 31, 2017

The winning companies span many industries and include the region’s up-and-coming gaming companies, software developers, communications and marketing agencies, contractors and staffing firms, and others.

Machine Learning 40

Machine Learning IoT Data-driven Marketing 40

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

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.

Analytics 69

Analytics Business Intelligence ROI Cost-Benefit 69

In(tegrate) the Clouds

DECEMBER 21, 2015

Aside from the Internet of Things, which of the following software areas will experience the most change in 2016 – big data solutions, analytics, security, customer success/experience, sales & marketing approach or something else? 2016 will be the year of the data lake. Does Elon Musk count? The Hyperloop concept is amazing.

Technology 45

Technology Internet of Things Digital Transformation Software 45

IBM Big Data Hub

JANUARY 18, 2023

This time, at least three different data platform solutions are emerging: Data Lakehouse, Data Fabric, and Data Mesh. While this is encouraging, it is also creating confusion in the market. Transformation must be performed continuously to keep the BLOB and data warehouse storage in sync, adding costs.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. 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.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

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 107

Data Architecture Data Integration IoT Strategy 107

Cloudera

AUGUST 27, 2021

The organization was locked into a legacy data warehouse with high operational costs and inability to perform exploratory analytics. With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. .

B2B 85

B2B Digital Transformation Cost-Benefit Big Data 85

Cloudera

MAY 10, 2018

With a limitless amount of data and an increased ability to harness it, organizations are able to tackle challenges in real-time that were previously impossible to solve.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

Cloudera

APRIL 13, 2021

But while the company is united by purpose, there was a time when its teams were kept apart by a data platform that lacked the scalability and flexibility needed for collaboration and efficiency. Disparate data silos made real-time streaming analytics, data science, and predictive modeling nearly impossible.

Enterprise 75

Enterprise Cost-Benefit Data Warehouse Data Architecture 75

Cloudera

AUGUST 9, 2022

Data platforms are no longer skunkworks projects or science experiments. As customers import their mainframe and legacy data warehouse workloads, there is an expectation on the platform that it can meet, if not exceed, the resilience of the prior system and its associated dependencies.

Data Lake 76

Data Lake Data Warehouse Data-driven IoT 76

Cloudera

JANUARY 3, 2019

Our pre-merger customer bases have very little overlap, giving us a considerable enterprise installed base whose demand for IoT, analytics, data warehousing, and machine learning continues to grow. We were first to bring it to market for the enterprise. Each of these trends, of course, depends entirely on data.

IoT 74

IoT Machine Learning Data Warehouse Enterprise 74

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The global commercial drone market is projected to grow from USD 8.15 The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique.

Data Collection 82

Data Collection Visualization Data-driven Unstructured Data 82

Cloudera

OCTOBER 17, 2023

The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity.

Data-driven 76

Data-driven Enterprise IoT Data Warehouse 76

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Their current workloads are safe.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

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 134

Analytics Key Performance Indicator Unstructured Data IoT 134