Tableau

DECEMBER 19, 2022

Let’s look back at how our innovations from 2022 create efficiencies and boost your bottom line. Automate the analysis, build, and communication of insights with Data Stories. Ask Data empowers everyone in the organization to build visualizations using natural language queries. Simplify Tableau Prep connections.

Data Modelling 98

Data Modelling Visualization Innovation Agile 98

Tableau

DECEMBER 19, 2022

Let’s look back at how our innovations from 2022 create efficiencies and boost your bottom line. Automate the analysis, build, and communication of insights with Data Stories. Ask Data empowers everyone in the organization to build visualizations using natural language queries. Simplify Tableau Prep connections.

Data Modelling 97

Data Modelling Visualization Innovation Agile 97

The BAWorld

MARCH 13, 2024

Process Modeling: Unveiling the Flow Imagine a roadmap outlining your business processes, visualizing workflows, decision points, and interactions. Process modeling , this visual representation, empowers stakeholders to identify inefficiencies, streamline workflows, and maximize resource utilization.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Tableau

OCTOBER 8, 2021

Tableau and Google Cloud are partnering to help modernize your data and analytics infrastructure and unlock your data’s full value. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems. With Tableau, any user can visually explore that data in real time.

Government 98

Government Digital Transformation Retail Healthcare 98

Sisense

JANUARY 6, 2021

The provider’s analytics platform plugs into your data source, crunches your numbers, and then generates reports and dashboard data visualizations. The right platform will give you total control over the widgets in your data visualizations, ideally in a user-friendly UI editor (like in Sisense’s Embedded Playground ).

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Astera

MAY 30, 2024

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Sisense

JANUARY 15, 2021

Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. As we have previously posted, the BI group is often the department that approaches the data teams for access to an analytics solution. Build a bridge to the BI team by bringing them into the process.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

The BAWorld

MARCH 15, 2024

Business Analytics Professional Data has always been central when it comes to business analytics professionals, Business analytics professionals focus on analyzing data to derive insights and support data-driven decision-making. Arguably, there is a debate about which language suits data analysis better.

Data Visualization 52

Data Visualization Visualization Artificial Intelligence Banking 52

Sisense

AUGUST 21, 2020

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. My take: The world is wider than the traditional BI tabular data.

Supply Chain 112

Supply Chain Data Modelling Decision Modelling Visualization 112

BizAcuity

MARCH 31, 2022

you already have a data strategy in place, then it is easier to identify and analyze where AI would be the most useful for your business.Analytics Insight has an informative blog on the wide range of use-cases of AI in prominent industries. AI helps break down consumer data into key insights. Applications of AI. AI in Marketing.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Whizlabs

APRIL 24, 2021

Power BI, built on the foundation of Microsoft Excel, is the umbrella term for a collection of cloud-based apps and services that enable businesses to capture, process, and analyse data from a variety of sources using a simple user interface. Power View is a tool that specializes in the visualization of your data.

Visualization 98

Visualization Business Intelligence Business Intelligence Information Technology 98

Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It follows then that data scientists are suddenly integral to building embedded AI components.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Exploratory Data Analysis (EDA). EDA is used to analyze data and summarize their main properties and characteristics using visual techniques.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Passionate BA

SEPTEMBER 2, 2023

Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and data modeling. 14.09, 8 PM CEST. Essential Requirements Practices.

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 130

Sisense

OCTOBER 14, 2020

These increasingly difficult questions require sophisticated data models, connected to an increasing number of data sources, in order to produce meaningful answers. Therein lies the power of your data team: Armed with know-how, they connect with the end user teams (internal users, product teams embedding insights, etc.)

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Sisense

JULY 3, 2019

For example, building visualizations from a search query is great. Recommended modeling when adding new disparate data Data deduplication and cleansing for those times when data isn’t perfect – and by that I mean always. Smart field and widget suggestions to assist in navigating complex data models.

Innovation 74

Innovation Data Modelling Visualization Artificial Intelligence 74

Sisense

DECEMBER 3, 2019

At Sisense, we see the rise of AI and a multicloud world accelerating the next wave of digital transformation, helping organizations reimagine their business and drive innovation, adoption, and value from data in the digital era. Thriving in a changing world: AI and multiple clouds. Unleash the power of advanced analytics.

Embedded Analytics 90

Embedded Analytics Data Warehouse Digital Transformation Digital 90

Tableau

APRIL 20, 2022

Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. . Here’s what to expect from each theme: . Ashley Howard Neville , Sr.

Chief Data Officer 118

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 118

Sisense

MARCH 30, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Recent and saved searches can be reused through a single click, and answers can be quickly applied to modify a visualization through an intuitive UI.

Artificial Intelligence 92

Artificial Intelligence Data Modelling Digital Business Intelligence 92

Astera

AUGUST 13, 2024

Data modernization also includes extracting , cleaning, and migrating the data into advanced platforms. After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Sisense

JULY 7, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Today’s organizations are more data-driven than ever. Additional capabilities.

Data Warehouse 92

Data Warehouse Agile Data Modelling Innovation 92

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Big Data 207

Big Data Agile Data Analytics Data Analytics 207

Marutitech

NOVEMBER 13, 2020

Low-code platforms typically use drag-and-drop features, automatic code generation, business process maps, and other visual tools to deliver an agile development environment without requiring the time or complexity of traditional coding methods. Some of the other reasons for the popularity of the low-code model include – Low Cost.

Visualization 98

Visualization User Experience Documentation Agile 98

Tableau

APRIL 20, 2022

Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. . Here’s what to expect from each theme: . Ashley Howard Neville , Sr.

Chief Data Officer 98

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 98

Sisense

FEBRUARY 24, 2021

Sophisticated technical talent who are querying data and building models with languages like SQL, R, and Python need a solution that will empower them to dive deep. Platforms like Sisense enable these teams to quickly explore data through code, visualize the results, or convert them to models written back to AWS Redshift or Snowflake.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Astera

APRIL 27, 2023

Data warehouse A data warehouse or a data lake is a cloud-based data storage solution that stores all the organized data collected from the data source using the data pipeline tools. What Should I Look For in Each Component of the Modern Data Stack?

Data Warehouse 52

Data Warehouse Big Data Data Analytics Data Analytics 52

Tableau

JANUARY 27, 2021

Our innovations are people-centric by design, helping unlock creativity to solve tangible challenges with data. In addition to technology, Tableau is invested in helping organizations build their Data Culture, so they can be successful with analytics at scale. People love Tableau because it’s powerful, yet intuitive.

Business Intelligence 97

Business Intelligence Business Intelligence Government Visualization 97

Sisense

SEPTEMBER 9, 2019

During Mark’s tenure, he has helmed Skullcandy’s digital transformation and his team has successfully increased online revenue and presence in the digital ecosystems, evolved into a world class customer service organization, and enabled growth with innovative systems solutions. Full circle data experience: achieved. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Data Modelling Digital Transformation Digital 75

Data Pine

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 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

JANUARY 25, 2024

Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Whizlabs

APRIL 19, 2021

Some of his must read write-ups are 5 Pillars of Innovation , The 20/20 Vision of Cloud , and Making Smart Cloud Choices in Uncertain Times. He is a driven executive and a military veteran who helps in casting innovative digital transformation for companies and measurably builds on it. Follow Sven Ringling on Twitter and LinkedIn.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Tableau

JANUARY 27, 2021

Our innovations are people-centric by design, helping unlock creativity to solve tangible challenges with data. In addition to technology, Tableau is invested in helping organizations build their Data Culture, so they can be successful with analytics at scale. People love Tableau because it’s powerful, yet intuitive.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. Big data analytics case study: SkullCandy.

Big Data 52

Big Data Supply Chain Data Analytics Data Analytics 52

Data Pine

MARCH 25, 2022

The correct answer is: everybody has an opinion, but nobody knows, and you shouldn’t care.” – Timo Elliot, Innovation Evangelist at SAP. Well, what if you do care about the difference between business intelligence and data analytics? “What’s the difference between Business Analytics and Business Intelligence?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105