Smarten

APRIL 25, 2024

Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Jedox

FEBRUARY 13, 2020

The power of artificial intelligence (AI) lies within its ability to make sense of large amounts of data. For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

IBM Big Data Hub

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

BizAcuity

MAY 16, 2022

So, make sure you have a data strategy in place. Data Integration. The easiest way to tap into data is integrating all your data to get a detailed understanding of your operations and your customers. Data mining allows refining and analyzing of the data on a near-real time basis.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Smarten

APRIL 2, 2019

Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

Smarten

SEPTEMBER 17, 2019

With so many sources of data, in so many locations with your enterprise, it is impossible for users to know whether they have access to complete, accurate data to make decisions. Contact Us today to find out more about how Augmented Data Discovery can help your business to succeed.

Predictive Analytics 51

Predictive Analytics Forecasting Visualization Data Integration 51

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Having visually appealing graphics can also increase user adoption. Enables Predictive Analytics on data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

SEPTEMBER 13, 2021

Implementing big data solutions can help investment managers navigate value investing safely. In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. Main Types of Big Data. Investors can present their big data using visually rich tools.

Big Data 107

Big Data Forecasting Cost-Benefit Machine Learning 107

Smarten

SEPTEMBER 29, 2023

Key Benefits and Deliverables: Real-time report for Stocks, Sales, Returns, Regions etc.,

Analytics 67

Analytics Sales Operational Reporting Reporting 67

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

datapine

NOVEMBER 11, 2021

Through powerful data visualizations, managers and team members can get a bigger picture of their performance to optimize their processes and ensure healthy project development. The first section of this list of prime features of business intelligence software aims to cover the initial stage of the data analysis process.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. Market sentiment analysis : Events can significantly influence market sentiment.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 96

Data Analytics Analytics Data Warehouse Data Lake 96

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. Free Download.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Jet Global

FEBRUARY 6, 2024

Hidden patterns in your data are illuminated in real-time, fostering intuitive, interactive exploration that unlocks the true narrative within your numbers. No longer passive consumers of information, you become master storytellers, captivating audiences with visual masterpieces crafted from data. js objects.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Birst BI

FEBRUARY 13, 2018

The user can’t be assumed to be an internal user who can be trained, so intuitive visualization and interfaces are a must.”. The result is a consistent enterprise view that enables users with self-service analytics through world-class dashboards, drill-down reporting, visual discovery, mobile tools, and predictive analytics.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

IBM Big Data Hub

OCTOBER 20, 2023

Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

Sisense

JULY 22, 2020

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load).

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. We would like to talk about data visualization and its role in the big data movement.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

AWS Big Data

NOVEMBER 7, 2023

Third, AWS continues adding support for more data sources including connections to software as a service (SaaS) applications, on-premises applications, and other clouds so organizations can act on their data. This integration empowers users to go from data to predictions and visualizations faster than ever.

Dashboards 75

Dashboards Data-driven Data Integration Data Lake 75

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In a fast-paced, data-rich world.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

Smarten

AUGUST 22, 2023

As a team member, you will likely ask all the questions noted above, as well as a few of your own and, while change can be difficult for some, it is important to understand that the Citizen Data Scientist role can be quite beneficial to you as a business user, an employee, and a staff member.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

Sisense

DECEMBER 15, 2020

By incorporating a wide range of external data sources that are connected and contextualized, users benefit from a more holistic picture of the market. Similar results are seen when going from social listening alone to using a fully connected and contextualized external data set to generate predictions. Step 3: Visualize.

Enterprise 52

Enterprise Analytics Sales ROI 52

datapine

NOVEMBER 27, 2019

Data exploded and became big. 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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Smarten

JANUARY 24, 2019

With the right tools, today’s average business user can become a Citizen Data Scientist , using data integrated from various sources to learn, test theories and make decisions. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

NOVEMBER 7, 2023

Much like business leaders use BI tools to visually see and understand data, executives need to understand how the data AI delivers is generated; given GenAI is predominantly a data output, executives can have concerns over how the numbers were generated and worried they are missing crucial business context.

Finance 52

Finance Uncertainty Reporting Marketing 52