datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. 5) Find improvement opportunities through predictions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

APRIL 8, 2024

Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety. The insights are then provided to the team captain via a dashboard on Microsoft Surface devices. Artificial Intelligence, CIO, Data Management, Data Quality, IT Leadership, Machine Learning, Predictive Analytics

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

Cloudera

JUNE 29, 2023

Look for ways to integrate predictive analytics and ML into liquidity risk management — for example, by monitoring intraday liquidity, optimizing the timing of payments, reducing payment delays and/or dependence on intraday credit. Design forecasting models that more accurately predict intraday cash flows and liquidity needs.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

CIO Business Intelligence

JUNE 14, 2023

Individuals with the certificate understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL, and R. They can visualize and present data findings in dashboards, presentations, and commonly used visualization platforms. The credential does not expire.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. QuickSight offers scalable, serverless visualization capabilities.

Data Strategy 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

CIO Business Intelligence

MAY 21, 2024

Engineers can now ingest data from each car every second with EventStreams, analyze it with Eventhouse, and distribute it to team managers and race participants. So Morrone and his engineers no longer need to rely on drivers reading indicators on their dashboards and passing along information.

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

Octopai

JUNE 9, 2024

They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 83

Insurance Risk Data-driven Data Quality 83

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

Smarten

FEBRUARY 13, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Analytics 52

Analytics Key Performance Indicator Business Intelligence ROI 52

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Here are the key features of RapidMiner: Offers a variety of data management approaches. Offers interactive and shared dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

JANUARY 27, 2022

Raw data includes market research, sales data, customer transactions, and more. Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future. What Is the Value of Analytics?

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Alation

MARCH 21, 2023

Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply. Using predictive analytics, travel companies can forecast customer demand around things like holidays or weather to set optimum prices that maximize revenue.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Occam's Razor

NOVEMBER 13, 2009

This is a collection of major reasons I think people fail at web analytics, and of course I boldly try to share how to avoid that fate. Behavior targeting, dashboards, accuracy, data mining, predictive analytics, and, the thing you'll appreciate the most IMHO, five steps for intelligent analytics evolution!

Analytics 71

Analytics Metrics Measurement Testing 71

Alation

MAY 4, 2023

Plus, this integration offers impressive performance when building real-time dashboards and visualizations that turn raw datasets into beautiful stories for viewers. Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Research and select the right tools for your organization.

Visualization 52

Visualization Metadata Data Governance KPI 52

AWS Big Data

JULY 12, 2023

It automatically provisions and scales the data warehouse capacity to deliver high performance for demanding and unpredictable workloads, and you only pay for the resources you use. Amazon Redshift delivers up to five times better price performance than other cloud data warehouses out of the box and helps you keep costs predictable.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Smarten

NOVEMBER 3, 2017

The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Sales 52

Jedox

MARCH 7, 2023

“With the AI engine, we can achieve very accurate forecast values and also see a lot of potential for further optimization and automation.” – Director Performance Controlling, Mitsui Chemicals Europe Mitsui also improved forecast accuracy with artificial intelligence (AI) and predictive analytics, enabling more confident decision-making.

Forecasting 52

Forecasting Sales Finance Manufacturing 52

Alation

MAY 4, 2023

Plus, this integration offers impressive performance when building real-time dashboards and visualizations that turn raw datasets into beautiful stories for viewers. Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Research and select the right tools for your organization.

Visualization 40

Visualization Metadata Data Governance KPI 40

Smarten

SEPTEMBER 15, 2017

Take the time to develop detailed requirements that consider business user skills, use cases for day-to-day analytics needs and for strategic use, the need for mobile access, scalability, data source integration and other needs. Will you need the flexibility to customize or personalize dashboards?

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Andrew White

JANUARY 11, 2021

Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts. What are the new trends around the Data solution architecture (centralized vs de-centralized?). where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Occam's Razor

AUGUST 22, 2011

Who Owns Web Analytics? Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Multichannel Analytics- Tracking Online Impact Of Offline Campaigns. Multichannel Analytics: Tracking Offline Conversions.

KPI 125

KPI Metrics Measurement ROI 125

Grooper

AUGUST 19, 2019

It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. These requirements include fluency in: Analytical models. Data science skills. Technology – i.e. data mining, predictive analytics, and statistics.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Jet Global

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

Predictive Analytics 52

Predictive Analytics Risk Analytics Data-driven 52

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. An excerpt from a rave review: “The Freakonomics of big data.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

DECEMBER 19, 2024

The conclusion of the selection process revealed that the chosen platforms features and AI-driven capabilities fit the requirements Sparex had and enabled them to: Consolidate data: Centralize data from various sources into a single platform, ensuring data consistency and accuracy.

Sales 122

Sales Analytics Key Performance Indicator Prescriptive Analytics 122

David Menninger's Analyst Perspectives

JANUARY 9, 2025

Unlike a general-purpose data store such as a data warehouse, everything the user needs is readily available and easily accessible, with metadata labels that are immediately recognized and understood. By automating the collection of data, reports and dashboards can be timelier.

Finance 130

Finance Forecasting Data Warehouse Interactive 130

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. It is an increasing challenge for organizations to deliver high quality yet more flexible reporting solutions and applications in less time. Data management has always been a challenge for companies.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

CIO Business Intelligence

MAY 6, 2025

The new analytics mandate is descriptive, predictive and prescriptive in context. When I meet with CIOs or executive sponsors, one of the first things I do is map out their analytics maturity curve. Too often, organizations conflate dashboards with intelligence. But its also where too many get comfortable.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78