Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. What is the modern data stack? In the modern data stack, there is a diverse set of destinations where data needs to be delivered.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. What is the modern data stack? In the modern data stack, there is a diverse set of destinations where data needs to be delivered.

Enterprise 61

Enterprise Data Lake Data Collection Data-driven 61

FineReport

FEBRUARY 28, 2020

What Is Enterprise Reporting? Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. Common Problems With Enterprise Reporting.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Jet Global

APRIL 2, 2019

Artificial Intelligence is coming for the enterprise. Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. The road to AI supremacy in enterprise business starts with investment in an area most businesses might not think to look at first.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

bridgei2i

SEPTEMBER 24, 2020

In dynamic markets, enterprises need to keep looking for ways to gain an edge over competitors to retain their position and stride forward to the top place. Product and service diversification, customer service, and automation seem to be ways in which enterprises are trying to achieve their targets. Risk Management Model.

Risk Management 52

Risk Management Risk Enterprise Management 52

Jedox

MAY 20, 2020

For enterprise-level budgeting, companies often rely on solutions they’ve pieced together over time, or on the traditional tool of finance, Excel spreadsheets. These three expert tips can help your organization improve your enterprise budgeting process. The budgeting process is collaborative.

Enterprise 60

Enterprise Finance Forecasting Data Collection 60

Jet Global

AUGUST 14, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures. And, the data catalog market has had a year of incredible growth.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Jet Global

AUGUST 19, 2020

August 19, 2020 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, has been named an Industry Excellence Award winner for enterprise performance management (EPM) leadership by Dresner Advisory Services, an independent analyst firm focused on business intelligence and related areas.

Enterprise 52

Enterprise Management Business Intelligence Digital Transformation 52

Octopai

OCTOBER 3, 2019

Whether organically, by merger or acquisition , or even by both, new data assets are being acquired or created, and all of them are growing by ever-greedier data collection methods. How do you get enough of a handle on all this data to understand what you have and how to exploit it? The answer is to build a data catalog.

Enterprise 41

Enterprise Metadata Data Warehouse Consulting 41

Rocket-Powered Data Science

JUNE 17, 2022

.’ Observability delivers actionable insights, context-enriched data sets, early warning alert generation, root cause visibility, active performance monitoring, predictive and prescriptive incident management, real-time operational deviation detection (6-Sigma never had it so good!), Reference ) Splunk Enterprise 9.0

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Jet Global

OCTOBER 2, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 128

Management Data mining Data Warehouse Data Collection 128

Cloudera

JANUARY 20, 2021

The six steps are: Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a brick and mortar retail store). Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Rocket-Powered Data Science

MARCH 10, 2020

“Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

Data Collection 248

Data Collection Digital Transformation Big Data Forecasting 248

Rocket-Powered Data Science

MARCH 19, 2021

The dynamic changes of the business requirements and value propositions around data analytics have been increasingly intense in depth (in the number of applications in each business unit) and in breadth (in the enterprise-wide scope of applications in all business units in all sectors).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

CIO Business Intelligence

APRIL 25, 2023

Asset Service Management, which is powered by the company’s Data Cloud, helps maintain enterprise equipment and machinery with real-time data collected from sensors and predictive maintenance based on usage, Eammano said. Enterprise Applications

Enterprise 88

Enterprise Sales Data Collection Management 88

CIO Business Intelligence

MAY 29, 2024

Data is a growing, ever-evolving business resource that can be an analytical nightmare or a company’s greatest asset. Because large enterprises use massive amounts of data, this critical asset can quickly become unmanageable and can sabotage the accuracy and efficiency of hard-working sales teams.

Sales 78

Sales Modeling Machine Learning Measurement 78

CIO Business Intelligence

JULY 3, 2023

For the last 30 years, the dream of being able to collect, manage and make use of the collected knowledge assets of an organization has never been truly realized. However, the AI future for many enterprises lies in building and adapting much smaller models based on their own internal data assets.

Management 104

Management Experimentation Modeling Enterprise 104

CIO Business Intelligence

MAY 16, 2023

To gain perspective, Iron Mountain sponsored research by Quadrant Strategies, which used digital listening technologies to study public online conversation trends among enterprise decision-makers. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises.

Advertising 86

Advertising Recreation/Entertainment Experimentation Enterprise 86

Jet Global

FEBRUARY 8, 2023

Software will complement insightsoftware’s budgeting and planning solutions for enterprise customers who leverage Power BI RALEIGH, N.C. This provides an entire organization with the ability to view, measure, and align corporate targets to actual performance using only Power BI and the Enterprise Resource Planning (ERP).

Finance 59

Finance Data Collection Software Forecasting 59

Smart Data Collective

OCTOBER 16, 2023

Financial data (invoices, transactions, billing data) and internal and external documents (reports, business letters, production plans, and so on) are examples of this. Big data generation is significant for enterprises transitioning from analog to digital workflows.

Big Data 102

Big Data IoT Cost-Benefit Advertising 102

IBM Big Data Hub

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. Learn more about watsonx.ai, our enterprise-focused studio for AI builders. The synthetic data generator service in watsonx.ai

Testing 87

Testing Finance Enterprise Modeling 87

Cloudera

SEPTEMBER 29, 2021

In this race, enterprises have an advantage. Bigger budgets give them easier access to the tools and expertise that support data-driven organizations. This creates a digital divide between the data haves — large enterprises — and data have-nots — smaller companies. You have to do it fast. But the gap can be closed.

Data-driven 79

Data-driven Data Collection Strategy Enterprise 79

Smart Data Collective

DECEMBER 9, 2021

Businesses already have a wealth of data but understanding your business will help you identify a data need – what kind of data your business needs to collect and if it collects too much or too little of certain data. Collecting too much data would be overwhelming and too little – inefficient.

Big Data 129

Big Data Data-driven Key Performance Indicator Testing 129

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

CIO Business Intelligence

JANUARY 31, 2024

This is accomplished through centralized data collection and analysis, which enables holistic visualization of the entire IT landscape and correlation of situations. More stable service means more money for digital enterprises. This frees up IT practitioners from spending time sifting through hundreds of alerts.

Data Collection 92

Data Collection Reporting Visualization Technology 92

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. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JULY 26, 2019

Enterprise architecture (EA) isn’t dead, you’re just using it wrong. I’ll let you in on a little secret: the rumor of enterprise architecture’s demise has been greatly exaggerated. However, the truth for many of today’s fast-moving businesses is that enterprise architecture fails. Don’t Put Enterprise Architecture in a Corner.

Digital Transformation 106

Digital Transformation Strategy Enterprise Business Intelligence 106

CIO Business Intelligence

APRIL 14, 2022

CIOs have a growing opportunity to set the tone for their organizations and play a fundamental part in defining ESG strategy enterprise-wide and adopting sustainability into their own digital transformation initiatives. Step 1: Identify enterprise ESG goals that IT can deliver through digital transformation.

Strategy 108

Strategy Digital Transformation IoT Measurement 108

Smart Data Collective

MARCH 2, 2022

No-Code Platforms Are the Future of Data Science and AI. There is a significant shift in tools, processes, and skills being used in the enterprise. As a result, low-code/no-code next-gen technologies are starting to reach the enterprise. Dubbed a “No Code Startup for Data Scientists”, Obviously AI received $4.7

Data Science 111

Data Science Enterprise Insurance ROI 111

Smart Data Collective

SEPTEMBER 13, 2021

Many organizations and enterprises are constantly under threat of a cyber attack. Although data may be lost in a hacking incident, it can also be due to other intentional or accidental reasons. For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters.

Risk 126

Risk Strategy Enterprise Finance 126

TDAN

APRIL 30, 2019

Data collection is getting more dispersed and voluminous every day. Enterprises create and collect information from a variety of data sources which may include websites, mobile devices, customers, vendors, and other numerous sources.

Management 69

Management Data Collection Enterprise Data Governance 69

CIO Business Intelligence

MARCH 23, 2022

While enterprise transformation is driven by customer and business needs, technology can be the catalyst for large transformational change. The Benefits of Enterprise Transformation . The benefits organizations can expect to receive from leveraging technology for enterprise transformation include: . Look Up, Frequently .

Technology 85

Technology IoT Internet of Things Data-driven 85

CIO Business Intelligence

JUNE 29, 2023

Don’t collect more data, collect the right data Today, large enterprises are awash in massive volumes of data points being collected by various monitoring systems. Invariably, when issues arise, operators don’t know where to start; no one has time to look at all the data captured.

Cost-Benefit 79

Cost-Benefit Data Collection Enterprise Reporting 79