CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

CIO Business Intelligence

MAY 23, 2022

For oil rig constructor McDermott International, that transformation has in no small part been fueled by IT. . Global Vice President and CIO Vagesh Dave says IT advancements in the cloud, analytics, and data management have transformed McDermott – and its industry – into an innovation engine. Vagesh Dave.

Data Lake 104

Data Lake Data mining IoT Digital Transformation 104

CIO Business Intelligence

APRIL 6, 2022

For example, Dell Technologies Validated Designs for Splunk power AIOps by gathering real-time data, mining it for insights, and then delivering these insights to management. Learn how to maximize your organization’s real-time efficiency with AIOPs Powering Digital Transformation. Just starting out with analytics?

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

Technology 135

Technology Data Warehouse Big Data Machine Learning 135

CIO Business Intelligence

APRIL 19, 2022

This is known as data traction. Mining for gold. In any market segment you care to look at, you will find that the market front-runners will be those that have an exceptionally good data mining capability. Instead of opting for risking a ‘possible’ gain by investing in change and the value of data. Thrivers v.

Digital Transformation 55

Digital Transformation Data mining Strategy Insurance 55

bridgei2i

JULY 28, 2020

The second thing is that we’re seeing a real transition in our companies and organizations to a complete digital transformation and I call it universal digital transformation. So, what we see that’s taking place in a more general setting is digital transformation. Tune in to know more!

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Alation

MARCH 29, 2022

A shift emerged around 2000 with the initial discussions regarding digital transformation. First, data and analytics teams never were comfortable ceding control up to business teams. These so-called “citizen data scientists” remained a roadblock between business users and data — and between data and decision making.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

IBM Big Data Hub

JANUARY 10, 2023

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation.

Management 52

Management Data-driven Data mining Business Objectives 52

Sisense

APRIL 26, 2020

Structured data is organized in tabular format (ie. It can work easily with most standard analytical models. Some examples of structured data are Excel files, Google Sheets , and traditional DataBase Management Systems (DBMS). The middle tier is typically a relational data store with schemas that support analytical processing.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. If the current investments that a business has is not as effective, then data intelligence tools can provide guidance on the best avenues to invest in. Expanding big data.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every company has been generating data for a while now. Find a bottleneck in R&D?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

JUNE 30, 2022

Digital transformation, AI, data mining and the cloud drive efficiencies and improve customer engagement. Analytics, Artificial Intelligence, Data Mining An estimated 46% of customer interactions are already automated, with the trend toward automation having further accelerated during the pandemic. .

Data mining 94

Data mining Digital Transformation Interactive Strategy 94

CIO Business Intelligence

JULY 5, 2022

Digital transformation, AI, data mining and the cloud drive efficiencies and improve customer engagement. Analytics, Artificial Intelligence, Data Mining An estimated 46% of customer interactions are already automated, with the trend toward automation having further accelerated during the pandemic. .

Data mining 92

Data mining Digital Transformation Interactive Strategy 92

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Rocket-Powered Data Science

JULY 6, 2021

The old models were not able to predict very well based on the previous year’s data since the previous year seemed like 100 years ago in “data years”. This is critical in our massively data-sharing world and enterprises. From my perspective, that was the single most significant data innovation trend of the year 2020.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

BI-Survey

OCTOBER 23, 2019

New real-time security intelligence solutions are combining big data and advanced analytics to correlate security events across multiple data sources, providing early detection of suspicious activities, rich forensic analysis tools and highly automated remediation workflows. However, with great power comes great responsibility.

Big Data 49

Big Data Analytics Manufacturing Digital Transformation 49

Decision Management Solutions

AUGUST 18, 2020

Conflating BPM and Digital Decisioning will not help you succeed with either or with the digital transformations they make possible. Our #2 critical success factor for digital decisioning is to mix and match technology – find the right technology match for each decision. Write different rules for each category.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Alation

AUGUST 26, 2021

Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Data Intelligence: Origin, Evolution, Use Cases. Examples of Data Intelligence use cases include: Data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64