Smarten

MARCH 18, 2019

Data Science and Predictive Analytics Made Simple! Imagine a world where data science and predictive analytics tools are created for business users! Contact Us if you want an Advanced Analytics Solution that will support business users and enhance business results.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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 132

Data Analytics Diagnostic Analytics Management Analytics 132

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. This is predictive power discovery. Or more simply: given Y, find X. ” “Just 26.5%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smarten

OCTOBER 9, 2018

Predictive Analytics is no longer limited to data scientists. The benefits of augmented analytics and, specifically, of predictive analytics and assisted predictive modeling , are numerous, so there are plenty of reasons to embrace this approach and plenty of advantages of advanced analytics.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. Additionally, organizations are increasingly restrained due to budgetary constraints and having limited data sciences resources.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

Smarten

DECEMBER 3, 2023

It also augments the expert and citizen data scientists by automating many aspects of data science, machine learning, and AI model development, management and deployment.’ ‘You As Springboard notes, ‘Augmented Analytics is an example of human machine interaction in the data science field.’

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

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

CIO Business Intelligence

OCTOBER 26, 2022

Following is a report on that process and some tips outlining how Van Vreede’s work with Edsall can help you better shape your resume as a leadership journey toward new opportunities. Highlight your leadership skills from the top Van Vreede worked with Edsall to create a cohesive theme for her resume based on her career goals and interests.

Predictive Analytics 109

Predictive Analytics Data Science Data-driven Management 109

datapine

OCTOBER 21, 2020

Indeed, for years gathering huge amounts of data for medical use has been costly and time-consuming. With today’s always-improving technologies, it becomes easier not only to collect such data but also to create comprehensive healthcare reports and convert them into relevant critical insights, that can then be used to provide better care.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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

MARCH 31, 2022

Being able to clearly see how the data changes in time is what makes it possible to extract relevant conclusions from it. For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smarten

JANUARY 27, 2023

Smarten CEO, Kartik Patel says, ‘The addition of PMML integration capability enables faster roll-out and allows users to leverage the Smarten workflow for PMML predictive models, adding more flexibility and power to the Smarten suite of augmented analytics tools.’

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Smart Data Collective

OCTOBER 11, 2023

We mentioned that Python is one of the best programming languages for data science and AI applications. Gupta reports that the more primitive applications involve using AI-driven Angular methods to create more interactive chatbots and conversational interfaces.

Machine Learning 99

Machine Learning Interactive Predictive Analytics Data-driven 99

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

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. Real time and cached data management.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

Smarten

MARCH 31, 2019

Predictive Analytics Techniques That Are Easy Enough for Business Users! There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics Forecasting 40

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

AUGUST 3, 2023

It also used device data to develop Lenovo Device Intelligence, which uses AI-driven predictive analytics to help customers understand and proactively prevent and solve potential IT issues.

Analytics 95

Analytics Data Lake Metadata Cost-Benefit 95

FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

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 87

Data Warehouse Experimentation Cost-Benefit Dashboards 87

Smart Data Collective

OCTOBER 16, 2023

Big data is generated primarily by three sources: Business Companies generate massive amounts of data daily. Financial data (invoices, transactions, billing data) and internal and external documents (reports, business letters, production plans, and so on) are examples of this.

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

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. Data-driven DSS. Analytics, Data Science SAP BusinessObjects.

Data mining 135

Data mining Data-driven Statistics OLAP 135

Smarten

NOVEMBER 26, 2023

‘Find out how business intelligence and analytics technology can improve your enterprise, improve business user data literacy, and ensure analytical clarity and results with seamless, intuitive business intelligence and reporting.’ What is data literacy? What is self-serve BI?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). NLG is a software process that transforms structured data into human-language content. They cannot process language inputs generally.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Cloudera

OCTOBER 26, 2023

By empowering employees at all levels to understand data, to integrate it into their workflows, and to make data-driven decisions, companies enable individual contributors to drive impact that senior leaders and middle management can’t see, and that’s exciting. How can an organization help bring its employees on board?

Data-driven 76

Data-driven Predictive Analytics Forecasting Enterprise 76

Smarten

SEPTEMBER 11, 2017

Plug n’ Play Predictive Analysis: Sophisticated, Yet Easy for Every User! Oh, the confusion of advanced analytical terminology. But, if you get the right Advanced Analytics Tools , you don’t have to worry about all of that because the tool will do the work for you.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

Smarten

JULY 13, 2022

The real focus on data democratization is meant to reach the front line workers so that every team member has access to simple, easy-to-use analytics and can use data in a way that is meaningful to their job. It isn’t enough to ask a team member to use data in reports. It isn’t enough to report on the history.

Sales 76

Sales Predictive Analytics Measurement Reporting 76

DataRobot

DECEMBER 8, 2021

But many struggle to turn the data they collect into true, actionable insights that can increase ROI. As noted in this report from Forrester®, “four out of five global data and analytics decision makers say that their firms want to become more data-driven and perform more advanced predictive analytics and artificial intelligence projects.

Customer Analytics 97

Customer Analytics Analytics Data-driven Advertising 97

datapine

MAY 16, 2019

While there’s no quickfire solution or definitive answer to this question, we can say that investing in data-driven solutions, reporting tools , and leveraging the power of restaurant analytics will help you succeed in this most cutthroat of industries. The Role Of Predictive Analytics In Restaurants.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52