CIO Business Intelligence

NOVEMBER 14, 2022

Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Break down internal data silos to create boundaryless innovation while enabling greater collaboration with partners outside of their own organization.

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

DataKitchen

FEBRUARY 2, 2023

The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less. This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. ’ They are data enabling vs. value delivery.

Metadata 130

Metadata Testing Data Science Risk 130

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 137

Big Data Data-driven IT Sales 137

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. This will be your online transaction processing (OLTP) data store for transactional data.

Data Analytics 119

Data Analytics Analytics Data Warehouse Data Lake 119

IBM Big Data Hub

APRIL 18, 2023

Increased automation: ISO 20022 provides a more structured way of exchanging payment data, enabling greater automation and reducing the need for manual intervention, all of which help reduce errors and improve overall payment processing efficiency. Are your payment systems ready for these new opportunities?

Risk Management 110

Risk Management Cost-Benefit Risk Data-driven 110

Cloudera

AUGUST 12, 2021

A more data driven approach also leads to greater transparency and meritocracy when new opportunities and promotions are based on performance rather than politics, ensuring that top-talent is nurtured and rewarded. Streamlining operations with advanced analytics to preempt issues. Data enables Innovation & Agility.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. Another example is fleet management.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

CIO Business Intelligence

OCTOBER 16, 2023

The primary objective of Predictive AI is to extract valuable insights and make informed predictions based on available data. It aids decision-making processes, allowing businesses to optimize operations, identify potential risks, and develop data-driven strategies.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

CIO Business Intelligence

DECEMBER 18, 2023

Software is starting to run through everything from on-premises to remote services and enables automation, analytics, insights and cybersecurity. With so much choice and a variety of software-defined services, the challenge is bringing all the data together into a single, unified platform.

Software 119

Software Technology Digital Transformation Data-driven 119

DataKitchen

FEBRUARY 21, 2023

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” Learn, improve, and iterate quickly (with feedback from the customer) with low risk. And that code creates complexity.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Data Lake 105

Data Lake Risk Marketing Data Warehouse 105

erwin

JULY 17, 2019

EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today. Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. The Right Tools.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Smart Data Collective

JULY 9, 2023

Did you know that global E commerce businesses are projected to spend $32 billion on analytics by 2026 ? Despite the many benefits that big data offers to the e-commerce sector, many companies are struggling to use it effectively. We have talked a lot about the importance of big data in e-commerce.

Big Data 98

Big Data Data-driven Sales Risk 98

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Know what data you have. Know how data is used.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

Cloudera

NOVEMBER 16, 2020

This requires a lot of data, a variety of data, and advanced analytic capabilities. Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications.

Insurance 101

Insurance ROI Marketing Machine Learning 101

Jet Global

FEBRUARY 26, 2025

Lineos supports finance professionals by simplifying complex data into actionable insights, addressing real-world challenges, and enabling confident decision-making. Manual processes and repetitive tasks continue to burden finance teams, consuming time and increasing the risk of errors.

Finance 52

Finance Data-driven Reporting Data Enablement 52

CIO Business Intelligence

DECEMBER 10, 2024

To harness its full potential, it is essential to cultivate a data-driven culture that permeates every level of your company. Notably, hyperscale companies are making substantial investments in AI and predictive analytics. In addition, they can actively detect and safeguard the data, enabling rapid recovery in the event of an attack.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

Jet Global

MARCH 22, 2023

The value of embedded analytics is unmistakable. These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market. The challenge is collecting all that data into one place and making it understandable.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. A highly productive team enables an organization to meet its goals and objectives. This system enables you to automate employee hours recording and tracking, preventing manual timesheet use and reducing the risk of inaccuracies.

Metrics 120

Metrics Measurement Data-driven Optimization 120

datapine

OCTOBER 7, 2020

They help in making the right decision: To ensure positive business results, data-enabled decisions are critical. What are key metrics in this case enabling – is an environment that focuses on making the right decision at the right time since they will present the data, and help you derive insights.

KPI 269

KPI Metrics Sales Visualization 269

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Cloudera

DECEMBER 15, 2021

The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. 95% of technical decision makers agree that data and analytics are essential for driving progress on DEI.

Data Strategy 84

Data Strategy Strategy Snapshot Data-driven 84

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

OCTOBER 8, 2020

It also decreases the risk of errors by eliminating disjointed, manual processes. Tip 3: Make decisions with operational data. Operational, or non-financial, data enables CFOs to look further out and predict future demand for goods and service, manage costs, or reforecast inbound delivery schedules.

Finance 98

Finance Reporting Forecasting Metrics 98

AWS Big Data

JULY 29, 2024

Data lakes provide a unified repository for organizations to store and use large volumes of data. This enables more informed decision-making and innovative insights through various analytics and machine learning applications. This helps reduce the risk of false alerts.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

Cloudera

AUGUST 8, 2024

This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it. Data-backed Decisions Through Predictive Models Predictive models use historical data and analytics to forecast future outcomes through mathematical processes.

Enterprise 72

Enterprise Predictive Modeling Cost-Benefit Unstructured Data 72

datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. It’s most likely that your data isn’t living in one spot.

Dashboards 235

Dashboards Interactive Reporting KPI 235

erwin

JANUARY 23, 2025

The platform integrates data cataloging, quality, literacy, and marketplace capabilities, facilitating data discovery, data and AI governance, and automated value scoring. It offers extensive data connectors, automated workflows, and powerful impact analysis, facilitating reliable data for AI and analytics.

Metadata 52

Metadata Data Quality Data Governance Software 52

Sisense

OCTOBER 6, 2020

The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Quantitative data is often viewed as the bedrock of your business intelligence and analytics program because it can reveal valuable insights for your organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. Management can be convinced by obvious need.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Jet Global

OCTOBER 9, 2024

According to a recent Forbes article, “the prescriptive analytics software market is estimated to grow from approximately $415M in 2014 to $1.1B ” The article goes on to state that “by 2020, predictive and prescriptive analytics will attract 40% of enterprises’ net new investment in business intelligence and analytics.”

Prescriptive Analytics 52

Prescriptive Analytics IoT Internet of Things Cost-Benefit 52