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 129

Data Analytics Diagnostic Analytics Management Analytics 129

Decision Management Solutions

JUNE 25, 2019

She emphasized the importance to data science teams of business translation and of partnering with domain experts. It’s often hard to get domain expertise and data science skills in the same person – hence the need for translation. Finally, Shingai Manjengwa , CEO, Fireside Analytics Inc. DecisionsFirst indeed!

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 124

Big Data Data Analytics Analytics Predictive Modeling 124

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. Best for : the new intern who has no idea what data science even means.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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. Clinical DSS. These systems help clinicians diagnose their patients.

Data mining 130

Data mining Data-driven Statistics OLAP 130

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 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

datapine

OCTOBER 21, 2020

Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. However, as an article by Fast Company states, there are precedents to navigating these types of problems and roadblocks while accelerating progress towards curing cancer using the strength of data analytics.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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. A great use case of this benefit is Uber.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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 76

Key Performance Indicator Predictive Analytics Metrics Consulting 76

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

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

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

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. From FineBI.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

MARCH 26, 2024

You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Cloudera

APRIL 9, 2021

The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smarten

SEPTEMBER 11, 2017

Read a report, attend a conference and your head is swirling with terms like ‘assisted predictive modeling’, plug n’ play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Take plug n’ play predictive analytics for example.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

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

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 means that every exercise is a complex challenge of data engineering, and even when the work is done the results are removed from your visualization and reporting solutions.

Analytics 73

Analytics Business Intelligence Visualization Predictive Analytics 73

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

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 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

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. You can also run predictions using SQL.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

Smarten

NOVEMBER 26, 2023

Self-serve business intelligence provides an analytics approach that is accessible to business users. Collaboration – Business Intelligence (BI) tools allow the enterprise to encourage and engender collaboration and the sharing of data to make new product decisions, plan for new locations and resources, reduce downtime and re-work and more.

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

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

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-driven 110

Data-driven Data Science Machine Learning Modeling 110

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

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 56

Optimization Forecasting Data-driven Strategy 56

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

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? As such a head of analytics, BI and data science may emerge. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52