Jedox

OCTOBER 22, 2020

Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence. While data analytics can provide many benefits to organizations that use it, it’s not without its challenges.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Get the inside scoop and learn all the new buzzwords in tech for 2020! Computer Vision. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Decision Management Solutions

MARCH 25, 2020

This powerful visual analogy is used place of technical requirements and enables practical, creative design of solutions to your decision-making problems. The class is 2 hours, it’s FREE and its on April 3rd, 2020 10am-Noon Pacific (1pm-3pm Eastern).

Modeling 70

Modeling Visualization Interactive Management 70

IBM Big Data Hub

AUGUST 7, 2023

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. Impact Report Jan/Feb 2020; 22(1): New global recruitment performance benchmarks yield mixed results.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Data science requires special skills in the areas of data cleansing, data visualization, algorithm selection, diagnostics, and more.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Hurwitz & Associates

APRIL 2, 2019

To do this, IBM is emphasizing the need to “visualize” data resources – and to embed AI and ML technology into the offering to help extend the capabilities of IT staff. The offering supports automated tiering for data – moving data to appropriate storage resources via AI predictive analytics capabilities.

Software 56

Software Enterprise Snapshot Management 56

IBM Big Data Hub

JULY 24, 2023

For example, 99% of organizations surveyed by McKinsey said they have pursued a large-scale technology transformation since 2020. Predictive analytics helps to optimize IT operations by intervening before an incident happens. Predictive analytics helps to optimize IT operations by intervening before an incident happens.

IT 54

IT Analytics Cost-Benefit Predictive Analytics 54

Sisense

JUNE 9, 2021

Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Let’s look at a heat map of Robert Lewandowski’s play for FC Bayern Munich in its imperious 2019/2020 Bundesliga and Champions League winning season.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

DataRobot Blog

MAY 25, 2022

From 2018 to 2020, the U.S. With DataRobot, professionals and organizations impacted by natural disasters can solve an array of difficult predictive analytics questions and rapidly gain value from their data. Climate change and natural disasters are a concern for both the public sector and commercial organizations.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

Birst BI

FEBRUARY 13, 2018

Constellation Research predicts that by 2020, 60 percent of mission-critical data will be accessed, rather than owned by enterprises – with external sources including SaaS, social networks, third-party enrichment data and partner information. Mobile reporting, visualization, analysis.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

Smarten

JANUARY 7, 2020

’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

IT 52

IT Business Intelligence ROI Reporting 52

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. See you at Rev 3 in 2020! In an organization the size of Netflix, teams need to be differentiated. Upcoming events.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

datapine

NOVEMBER 27, 2019

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. The trends we presented last year will continue to play out through 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Cloudera

JANUARY 25, 2022

As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-time), we need more intelligent ways to perform visual exploration, data interrogation, and share insights. Jump start your journey with AMPs. Search your way to insights.

Visualization 91

Visualization Machine Learning Predictive Analytics Data-driven 91

datapine

DECEMBER 4, 2019

That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020. Exclusive Bonus Content: Get Our 2020 BI Buzzwords Handbook! Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? Without further ado, let’s get started.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

JANUARY 24, 2019

AutoML comes into play as business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

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

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? Yes, prescriptive and predictive analytics remain very popular with clients.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 4, 2021

To make matters more confusing, SAP released an alternate version of this product in 2020 called SAP Analysis for Office Edition for SAP Analytics Cloud (SAC). At its core, SAC is primarily aimed at visualization, that is, producing dashboards that provide a graphical representation of your ERP data.

Reporting 52

Reporting IT Finance Data Warehouse 52