CIO Business Intelligence

JANUARY 19, 2024

According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. Check out our list of top big data and data analytics certifications.) The exam is designed for seasoned and high-achiever data science thought and practice leaders.

Data Science 127

Data Science Machine Learning Predictive Modeling Experimentation 127

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

CIO Business Intelligence

JUNE 29, 2022

Many businesses don’t even have it yet, but are considering it. In essence, MLOps analysts are a section of the data science team. Whereas data scientists focus on algorithm design and the interpretation of information, MLOps concentrate on making sure the model is working at its best amid changing demands. It’s crucial.

Data Science 88

Data Science Machine Learning Data-driven Predictive Analytics 88

Boris Evelson

JUNE 14, 2023

Enterprise business intelligence (BI) continues to be the last mile to insights-driven business (IDB) capabilities. No matter what technology foundation you’re using – a data lake, a data warehouse, data fabric, data mesh, etc.

Business Intelligence 98

Business Intelligence Data Lake Data Warehouse Data-driven 98

TDAN

APRIL 20, 2021

Enter predictive analytics, and […]. It’s usually somewhat tedious for all parties involved, until a safety issue actually arises. At this point, all the old procedures will be given a good once-over.

Predictive Analytics 59

Predictive Analytics Analytics IT Business Intelligence 59

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

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

Smarten

DECEMBER 3, 2023

What is Augmented Analytics and How Has it Evolved? Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

TDAN

AUGUST 18, 2020

Modern business is all about data, and when it comes to increasing your advantage over competitors, there is nothing like experimentation. Experiments in data science are the future of big data. Already, data scientists are making big leaps forward. Innovations can now win the future.

Experimentation 59

Experimentation Data Science Big Data Internet of Things 59

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

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. Analytics, Data Science Some experts consider BI a successor to DSS.

Data mining 135

Data mining Data-driven Statistics OLAP 135

Smarten

NOVEMBER 26, 2023

The Benefits of Business Intelligence (BI) As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs. What is data democratization? What is data literacy? What is self-serve BI?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

Decision Management Solutions

MARCH 25, 2019

Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation.

Insurance 75

Insurance Data Science Testing Modeling 75

Smarten

OCTOBER 31, 2022

If your business can leverage traditional business intelligence tools AND advanced augmented analytics, it can provide the features and tools its users need without being forced to choose and without forcing its team to use a solution that is not ideal for their role or their needs.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

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 131

Data Architecture Data Warehouse Statistics Visualization 131

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. How to prepare: No prior computer science or programming knowledge is necessary.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

OCTOBER 26, 2022

For someone looking to pursue leadership roles that focus on turning data science and analytics organizations into a value driver for the business, there was almost no content that spoke to the candidate’s track record providing tangible business value,” he says. >

Predictive Analytics 112

Predictive Analytics Data Science Data-driven Management 112

CIO Business Intelligence

JANUARY 25, 2024

One job with that kind of focus is an analytics translator —an enterprise role that emerged several years ago for data experts adept at decoding insights from AI and data science teams into relevant and relatable insights for business and product teams. “Make it appealing and relevant to me.”

Deep Learning 106

Deep Learning Cost-Benefit Statistics Manufacturing 106

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., Examples: Cars, Trucks, Taxis.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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

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. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 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 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” Original Post : Smarten Augmented Analytics Now Available on Mobile App! About Smarten.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Decision Management Solutions

APRIL 2, 2019

Many speakers on predictive analytics, machine learning (ML) and AI talk about the need to allow data science teams to fail. Without failure, without a willingness to fail sometimes, it’s very hard to build a successful data science program.

Analytics 74

Analytics Predictive Analytics Data Science Machine Learning 74

Boris Evelson

FEBRUARY 23, 2022

Over the last couple of decades, we’ve been observing a seemingly impenetrable barrier: No more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications.

Dashboards 97

Dashboards Business Intelligence Enterprise Analytics 97

CIO Business Intelligence

OCTOBER 1, 2022

P&G is also piloting the use of IIoT, advanced algorithms, machine learning (ML), and predictive analytics to improve manufacturing efficiencies in the production of paper towels. P&G can now better predict finished paper towel sheet lengths. Smart manufacturing at scale is a challenge. “We

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Smarten

MAY 11, 2017

Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science. Smarten provides solid support for data democratization and the transformation of business users to Citizen Data Scientists.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Boris Evelson

SEPTEMBER 21, 2020

The perception of legacy enterprise business intelligence (BI) platforms comes with some legitimate stigma and baggage.

Business Intelligence 143

Business Intelligence Dashboards Enterprise Reporting 143

CIO Business Intelligence

JUNE 1, 2022

For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science.

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

Smarten

APRIL 12, 2023

Contact the Smarten team to find out more about Smarten SnapShot Anomaly Monitoring and how this powerful functionality can help you to gain insight into your data and results. Original Post : Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

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

JUNE 17, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smart Data Collective

MAY 20, 2019

It’s important to build a solid CV by working with businesses and teams that fit a specialization, so choose one. By 2020, over 40 percent of all data science tasks will be automated. Basic Business Intelligence Experience is a Must. Communication happens to be a critical soft skill of business intelligence.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Jedox

JULY 17, 2018

This is where the latest innovation and technical capabilities in Business Intelligence and Enterprise Performance Management software come into play. Introducing the Jedox AI engine for business intelligence and enterprise performance management. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

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. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52