Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Importance of machine learning in forecasting cryptocurrency prices. However, trend forecasting appears to be much more effective at gauging the direction of cryptocurrency prices.

Machine Learning 140

Machine Learning Forecasting Predictive Analytics Marketing 140

datapine

DECEMBER 11, 2019

Even if figures diverge somewhat, the many forecasts conducted on SaaS industry trends 2020 demonstrate an obvious reality: the SaaS market is going to get bigger and bigger. SaaS Industry is forecasted to reach $55 billion by 2026. Our second forecast for SaaS trends in 2020 is Vertical SaaS. 2) Vertical SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

datapine

JANUARY 18, 2023

With the use of the right BI reporting tool businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies. Let’s see it more in detail with a visual example. Progress reports are often used as visual materials to support meetings and discussions.

Reporting 201

Reporting Metrics Dashboards Visualization 201

Analytics Vidhya

DECEMBER 1, 2020

This article was published as a part of the Data Science Blogathon. Introduction Anomaly detection is a process in Data Science that deals with. The post A Case Study To Detect Anomalies In Time Series Using Anomalize Package In R appeared first on Analytics Vidhya.

Data Science 228

Data Science Publishing Analytics Forecasting 228

CIO Business Intelligence

SEPTEMBER 12, 2024

This means Zoho customers can easily access and attach data from other sources to better inform LLMs, algorithms, business plans, and forecasts. He also loves an existing feature: the way he can publish results from Analytics to a presentation or web page so external users can view them without needing an Analytics license.

Analytics 131

Analytics Diagnostic Analytics Machine Learning Forecasting 131

Analytics Vidhya

MARCH 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In order to be able to analyze multiple sample. The post Simplexety Method – Plot millions of (time-series) data points into one chart (cartesian coordinate system) appeared first on Analytics Vidhya.

Data Science 200

Data Science Publishing Analytics Forecasting 200

Smart Data Collective

JUNE 4, 2021

Visual graphs are the core of descriptive statistics. In data science, various techniques are available for understanding, forecasting time series. As the data is seasonal, time series techniques are a good option for forecasting the number of passengers in the future. Publish Articles. Time series is data mapped to time.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

AWS Big Data

OCTOBER 11, 2023

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. Using machine learning (ML) and data visualization tools, these datasets can be transformed into actionable insights that can inform decision-making.

Visualization 111

Visualization Dashboards Data-driven Gap analysis 111

FineReport

FEBRUARY 5, 2020

Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Create highly interactive dashboards and content with visual exploration operations and embedded advanced geospatial analysis. Interactive visual exploration. Metadata management.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Smart Data Collective

MAY 22, 2019

Visual social media networks are becoming increasingly popular. Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms.

Optimization 101

Optimization Marketing Big Data Machine Learning 101

Jet Global

JANUARY 7, 2021

BI dashboards provide a vivid visual representation that can be intuitively understood by virtually anyone in the organization, very quickly. One of the most common use cases for BI dashboards involves tracking sales revenue and pipeline opportunities against the forecast. Why Use a BI Dashboard? In 1999, S.L.

Dashboards 98

Dashboards Key Performance Indicator Metrics Business Intelligence 98

datapine

FEBRUARY 9, 2024

Catchy headlines, backlinks to relevant influencer content, the seamless placement of a numbered or bulleted and visuals are some of the key drivers of successful digital content. It’s our consumer demands that are communicated to businesses via KPI examples , dictating how the brands or businesses craft and develop the content they publish.

KPI 221

KPI Management Key Performance Indicator Measurement 221

CIO Business Intelligence

AUGUST 8, 2024

The first AI use cases are implemented in the moment to retrieve further insights from the accumulated data, including clustering based on water usage patterns, forecasting water consumption, and implementing predictive maintenance strategies. More than 2.7

Forecasting 119

Forecasting Machine Learning Management Technology 119

Jedox

MAY 17, 2022

What Predictive Analytics Cannot Forecast. From the opening of Lloyd’s Coffee House in 1686, financial services professionals have been attempting to forecast what’s going to happen next. Whether or not the results of such forecasts beat random chance is highly dependent on the subject matter expert’s skills.

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. CFFL has published almost two dozen research reports, each accompanied by detailed prototypes demonstrating the capabilities they report on. Deep Learning for Image Analysis.

Deep Learning 84

Deep Learning Machine Learning Forecasting Visualization 84

Smart Data Collective

APRIL 20, 2019

We previously published an article on the state of direct mail marketing. They might assume that using certain colors or other visual elements on their business card will be more appealing. It allows organizations to monitor historic data to forecast future trends. Nothing could be further from the truth.

Big Data 104

Big Data Marketing Predictive Analytics IoT 104

Smarten

JULY 26, 2018

Smart Data Visualization can radically improve your business intelligence, data discovery and analytics. It can streamline the work process of business users, improve the accuracy of planning and forecasting and ensure better, more timely, more accurate business decisions. What is Smart Data Visualization?

Visualization 40

Visualization IT Interactive Business Intelligence 40

FineReport

OCTOBER 21, 2019

Pro: Stunning Data Visualization . Unparalleled capabilities of visualizing information are on top of the list of Tableau software benefits. Using unique visualization technology, we can quickly analyze data by expressing the analysis results using colors, shapes, and sizes. Pro: R script visualization. From Google.

Visualization 91

Visualization Dashboards Cost-Benefit Software 91

Smart Data Collective

JULY 9, 2023

Heatmaps are powerful visual tools help show where website visitors pay the most attention. Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends. You need to identify areas of high interest to improve the engagement of your product or service.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

Smart Data Collective

JANUARY 26, 2022

Last year, we published an article on the ways that big law and big data are intersecting. Legal analytics is the process of implementing data into your decision-making on topics affecting legal forms and attorneys, like legal strategy, a matter of forecasting, and resource management. But what is legal analytics?

Data Analytics 103

Data Analytics Analytics Predictive Analytics Insurance 103

Cloudera

JANUARY 30, 2024

Quality: Use cases like visual inspection, yield optimization, fault detection, and classification are enhanced with AI technologies. Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

Jet Global

JUNE 22, 2023

Another nice aspect of the blog is that it frequently publishes the results of surveys conducted by the CFOSP. Link: [link] McKinsey Special Collection: The Role of the CFO For those of you who actively follow McKinsey, you will know that they regularly publish articles tailored for management and C-level executives.

KPI 105

KPI Finance Dashboards Digital Transformation 105

AWS Big Data

MAY 1, 2023

Overview of solution In this post, we go through the process to create a pipeline to ingest, store, process, analyze, and visualize AWS support cases. Visualize the data in a QuickSight dashboard in the central account. To use the forecast capability in QuickSight, sign up for the Enterprise Edition. Choose Save & publish.

Dashboards 97

Dashboards Analytics Visualization Management 97

AWS Big Data

MAY 4, 2023

Solution overview Each day, the UK Met Office produces up to 300 TB of weather and climate data, a portion of which is published to ASDI. How could we publish an IP address, which is capable of changing, across AWS Regions? These datasets are distributed across the world and hosted for public use.

Data Processing 109

Data Processing Metadata Informatics Interactive 109

AWS Big Data

JULY 16, 2024

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Zurich wanted to identify a log management solution to work in conjunction with their existing SIEM solution.

Insurance 124

Insurance Management Cost-Benefit Optimization 124

The Unofficial Google Data Science Blog

JULY 11, 2017

Forecasting (e.g. Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017).

Forecasting 66

Forecasting Statistics Modeling Software 66

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. The first step before creating data visualization using Power View and Pivot Tables/Charts in Excel, we need to acquire the data from various data sources. I look forward to seeing you there!

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. The first step before creating data visualization using Power View and Pivot Tables/Charts in Excel, we need to acquire the data from various data sources. I look forward to seeing you there!

Dashboards 40

Dashboards Visualization KPI Interactive 40

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. This is in line with existing sector benchmarks. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

Optimization 55

Optimization Forecasting Data-driven Statistics 55

Smarten

JANUARY 17, 2019

They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions. Original Post: Why is Natural Language Processing Important to Enterprise Analytics?

Enterprise 40

Enterprise Analytics Forecasting Sales 40

Smarten

MARCH 19, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40

Smarten

SEPTEMBER 9, 2024

Mobile BI Solutions are Not Created Equal: Choose the Right Vendor Recent surveys and statistics published by Mordor Intelligence , reveal that the fastest growing market for Mobile BI is in the Asia Pacific and the largest market is in North America. The market is forecasted to achieve nearly a 23% growth over the next three years.

Business Intelligence 52

Business Intelligence Scorecard Key Performance Indicator Dashboards 52

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Jedox

JULY 23, 2019

Paresh Mistry has published a blog which provides a good framework as a starting point. 3-way predictions or forecasts typically include the Income Statement, Balance Sheets and Cash Flow Statements. Exploring the technology opportunities in FP&A.

Technology 52

Technology Forecasting Finance Data-driven 52

Smarten

JANUARY 24, 2019

Machine Learning Algorithms allows the system to understand data and applies correlation, classification, regression, or forecasting, or whichever technique is relevant, based upon the data the user wishes to analyze.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

SEPTEMBER 6, 2019

SSDP allows average business users to compile and prepare data and use that data in analytics to test hypotheses, visualize and share data, prepare reports and support day-to-day tasks with complete drill-down and drill-through capability, custom alerts and mobile access that supports the needs of every team member.

Analytics 53

Analytics IT Business Intelligence Testing 53

Domino Data Lab

MAY 20, 2021

Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. Morgan Kaufmann Publishers Inc. Using the adap learning algorithm to forecast the onset of diabetes mellitus. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Quinlan, J. Everhart, J.

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136