CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning. Data analytics methods and techniques.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

datapine

MARCH 31, 2022

In a slightly more technically-driven role, a BI developer is responsible for building, creating, or improving BI-driven solutions that help analysts transform data into knowledge, including data dashboards. A background in (or a firm grasp of) data warehousing and mining. Yes, they exist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

MAY 16, 2019

Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions. Here, we will look at restaurant data analytics, restaurant predictive analytics, analytics software for restaurants, and the specific ways that big data can help boost your business prospects across the board.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

DataRobot Blog

NOVEMBER 8, 2022

Organizations like Mindshare, a global media agency network, drive client value by using data to understand consumers and how media influences them on a deeper level than any organization on the planet. We’ve built scalable architecture to centralize and automate the ingestion of data across Paid, Earned, Shared and Owned data sources.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. ERP dashboards. Analytics, Data Science Clinical DSS. DSS user interface.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. They’re trying to get a handle on their data estate right now.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

David Menninger's Analyst Perspectives

SEPTEMBER 19, 2024

As I explained in our recent Buyers Guide for Data Platforms , the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months.

Data Warehouse 130

Data Warehouse Data Science Modeling Data Governance 130

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

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Cloudera

APRIL 9, 2021

The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Data Collection – streaming data. Data Enrichment – data engineering. The ML Solution.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Sisense

NOVEMBER 30, 2020

Applications of all kinds now face increasing pressure to offer analytics and stats to users on both sides of the fence: Subscribers and members want to see their personal analytics dashboards ; business teams want to see data on those members as well as app performance. Rosetta Stone.

Analytics 98

Analytics Dashboards Metrics Data-driven 98

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Smarten

SEPTEMBER 11, 2017

Add to that, the sophisticated concepts of auto-suggest, auto-recommend, time series forecasting, causation and prediction and classification techniques and you may feel that you need a degree in data science to do your job. Take plug n’ play predictive analytics for example.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

Smarten

SEPTEMBER 13, 2022

Imagining the Impact of Citizen Data Scientists ! Technology research and analysis firm, Gartner, coined the term, ‘analytic process automation.’ This process ‘converges data science, analytic and process automation into a single platform—which helps companies automate and integrate the way data and business processes come together.

Key Performance Indicator 78

Key Performance Indicator Predictive Analytics Metrics Dashboards 78

Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

CIO Business Intelligence

MARCH 19, 2025

Even in the absence of a formal C-level sustainability mandate, proactive data leadership can lay the foundation for future ESG integration, helping businesses stay ahead of regulatory and market expectations. Investing in data science and AI for sustainability Advanced analytics and AI can unlock new opportunities for sustainability.

IT 59

IT Data Governance Data-driven Metrics 59

Smarten

OCTOBER 31, 2022

With an integrated, mobile approach to BI tools, business users can leverage personalized dashboards, multidimensional key performance indicators, and KPI tools, report software, Crosstab & Tabular reports, GeoMaps and deep dive analytics and enjoy Social BI and collaboration. Multidimensional Key Performance Indicators (KPIs).

Key Performance Indicator 69

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 69

Birst BI

DECEMBER 18, 2018

Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more. Join us to find out how Birst is reshaping the landscape of BI and analytics once again. What happens next is a treasure hunt in identifying the drivers of the KPI’s behavior.

KPI 89

KPI Analytics Machine Learning Dashboards 89

CIO Business Intelligence

APRIL 15, 2022

But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. Data limitations in Microsoft Excel. MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. The culprit?

Analytics 145

Analytics Machine Learning Insurance Testing 145

Smarten

MAY 11, 2017

If you are frustrated with BI tools, and looking for self-service Advanced Analytics to achieve your goals and empower users, you should understand the difference between traditional BI tools and the Smarten Advanced Data Discovery approach.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Sisense

AUGUST 22, 2019

These are the types of questions that take a customer to the next level of business intelligence — predictive analytics. . This new type of analytics workflow means advanced analytics can happen faster, with accurate and up-to-date data. How much MRR will we generate in the next 30 days?

Analytics 73

Analytics Business Intelligence Visualization Predictive Analytics 73

Smarten

JULY 26, 2022

.” Business Users have access to dashboards, reports and Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality. Users can share reports and data via WhatsApp, email, chat or other content sharing apps on mobile devices, encouraging information sharing and collaboration.

Analytics 74

Analytics Key Performance Indicator Business Intelligence Dashboards 74

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Birst BI

JANUARY 29, 2019

And data scientists may represent less than 1% of users in an organization. Click here to register for January 31 Birst Smart Analytics live online launch event. What if we put the power of data science in the hands of every business user directly, removing these bottlenecks?

Analytics 78

Analytics KPI Machine Learning Visualization 78

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Note that there can only be one default IAM role.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

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

Smarten

JULY 13, 2022

Give your line workers, customer-facing representatives and team members access to augmented analytics that are easy to use and will not frustrate them as they attempt to solve problems and identify opportunities to improve or create new ideas to improve results.

Sales 78

Sales Predictive Analytics Measurement Reporting 78

Smarten

JUNE 12, 2017

Since we work in the world of data science and analytics, I will restrict my discussion to this, though I have a plenty of opinion in the other areas. More like an e-commerce site, one has to be given a choice to select a ready analytics or graph based on past analysis and intentions. This is not very complicated.

Analytics 40

Analytics Predictive Analytics KPI Sales 40

AWS Big Data

MARCH 26, 2024

The following diagram shows a sample C360 dashboard built on Amazon QuickSight. You can benefit from its ML integrations for automated insights like forecasting and anomaly detection or natural language querying with Amazon Q in QuickSight , direct data connectivity from various sources, and pay-per-session pricing.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

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 Reporting 52

Smarten

SEPTEMBER 9, 2024

These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

IBM Big Data Hub

AUGUST 7, 2023

Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 55

Optimization Forecasting Data-driven Statistics 55

Smarten

APRIL 11, 2018

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Smarten

NOVEMBER 26, 2023

Self-serve business intelligence provides an analytics approach that is accessible to business users. What is self-serve BI?

Business Intelligence 40

Business Intelligence Data-driven Advertising Reporting 40