Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

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

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. Healthcare : Medical researchers analyze patient data to discover disease patterns, predict outbreaks, and personalize treatment plans.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Insight Software

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. It is a complex and challenging task that requires careful planning, analysis, and execution.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Astera

DECEMBER 28, 2023

These data pipelines enable users to establish native connectivity to a wide range of endpoints, including files such as PDFs, XML, Excel, etc., databases and data warehouses , whether on-premises or in the cloud, data lakes , cloud storages, web applications, as well as data visualization and BI tools, consolidating their company-wide data.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52

Astera

DECEMBER 28, 2023

These data pipelines enable users to establish native connectivity to a wide range of endpoints, including files such as PDFs, XML, Excel, etc., databases and data warehouses , whether on-premises or in the cloud, data lakes , cloud storages, web applications, as well as data visualization and BI tools, consolidating their company-wide data.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52

Astera

JANUARY 11, 2024

Steps to Implement Data Centralization in Financial Analytics Implementing data centralization requires careful planning and execution. Identify and document the current systems and tools, assess data quality, and identify any gaps or redundancies.

Data Warehouse 52

Data Warehouse Finance Visualization Planning 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Smart Data Modeling Another trend in data warehousing is the use of AI-powered tools for smart data modeling.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

ElegantJ BI

JANUARY 22, 2017

Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘ Face Book for Analytics ‘ approach to business intelligence.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘ Face Book for Analytics ‘ approach to business intelligence.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘ Face Book for Analytics ‘ approach to business intelligence. About Kartik Patel.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

Astera

APRIL 24, 2024

Data aggregation tools allow businesses to harness the power of their collective data, often siloed across different systems and formats. By aggregating data, these tools provide a unified view crucial for informed decision-making, trend analysis, and strategic planning. Who Uses Data Aggregation Tools? No SQL CLI.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Insight Software

MAY 8, 2024

Logi Symphony harnesses the strengths of two recent insightsoftware acquisitions, Logi Analytics and Dundas BI, to enable software teams to rapidly design, build, and embed interactive dashboards, pixel-perfect reports and data visualizations with fast connectivity and access to modern data infrastructure.

Business Intelligence 52

Business Intelligence Business Intelligence IBM Support Embedded Analytics 52

Data Pine

MAY 28, 2019

To truly harness the power of a successful BI project, companies must develop a solid plan of action and in this post, we will provide the top tips for developing and executing analytics and BI projects with the help of BI tools, followed by business intelligence examples from different industries. Create a solid BI project plan.

Business Intelligence 127

Business Intelligence Business Intelligence Finance Planning 127

Insight Software

OCTOBER 11, 2023

Existing applications did not adequately allow organizations to deliver cost-effective, high-quality interactive, white-labeled/branded data visualizations, dashboards, and reports embedded within their applications. Addressing these challenges necessitated a full-scale effort.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Data Pine

FEBRUARY 22, 2022

A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Taking the time to plan and organize an efficient BI strategy will skyrocket your business performance. In today’s crowded business environment, everyone wants to work with data.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Astera

NOVEMBER 14, 2023

That’s largely because modern data warehousing tools provide a code-free development environment and end-to-end process automation, allowing you to make quick changes to your flows and build better ETL processes. Interested in creating your own data warehouse based on an agile, iterative development method?

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Astera

JANUARY 25, 2024

So, in simple terms, reverse ETL helps businesses get the right data to the right tools at the right time, making their work easier and more productive. This ensures a smooth and reliable data flow between their centralized data repository and operational systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

The BAWorld

APRIL 21, 2021

Data mappings specify the rules considering the target tables’ granularity; some fields may require summarized data. The data restructuring and cleaning are done in the transformation stage. Extracting data from multiple systems and identifying the desired subset of data from various sources may be tedious.

Data Warehouse 52

Data Warehouse Data Visualization Business Intelligence Business Intelligence 52

Domo

JULY 8, 2021

For any organization integrating cloud into its core tech stack, it’s important to recognize the opportunities and risks that come with a new environment, and to plan appropriately. Look for metadata management capabilities and ways to ensure data quality.

Data Governance 52

Data Governance Government Embedded Analytics Data Warehouse 52

Data Pine

APRIL 16, 2019

The digital world is in a constant state of flux, and to move with the ever-changing landscape around you, you must leverage data to make more informed and powerful data driven business decisions. Data driven business decisions make or break companies. First and foremost, the main reason usually invoked is data quality.

IBM Maintenance 115

IBM Maintenance IBM cost IBM Support Retail 115

Data Pine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Embedded Analytics 76

Embedded Analytics Business Intelligence Business Intelligence Visualization 76

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. This planning process is key to the successful selection, implementation, deployment and management of an advanced analytical solution.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. This planning process is key to the successful selection, implementation, deployment and management of an advanced analytical solution.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Be sure to consider the location, condition and accuracy of your data and to select a solution that will connect various data sources (personal, external, cloud, and IT provisioned). Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Data Pine

AUGUST 7, 2019

You only need to access the software through an Internet connection and decide on your subscription plan. Following the first point, the ability to develop your plan and deploy quickly will enable you to speed up your business benefits. Data quality , speed, and consistency in one neat package. . Speedy integration.

Visualization 67

Visualization Data Visualization Innovation Business Intelligence 67

Insight Software

MARCH 4, 2024

Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability. Unleash the power of storytelling by showcasing your ESG achievements with engaging visuals. Manual processes and juggling multiple tools won’t cut it under the ever-changing CSRD regulations.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM Expert 52

Insight Software

SEPTEMBER 22, 2023

About Logi Symphony Logi Symphony enables software teams to rapidly design, build, and embed interactive dashboards and data visualizations with fast connectivity and access to modern data infrastructure. Connect to any data source. Align data with ETL, data performance, data quality, and data structure.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance Visualization 52

Marutitech

JANUARY 21, 2022

The initial step for any data science management process is to define the team’s appropriate project goal and metrics, i.e., a data science strategic plan. Hence, if they are provided with the manager role, they will skimp on data science management. . Align stakeholders with the data science team.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Actian

JUNE 13, 2019

Business Analysts – These are the business users with data-intensive job roles, such as finance, operations planning, HR and administration. Business analysts typically don’t need access to raw data, but instead data feeds for the specific data sets with which they are working.

Skillset 40

Skillset Finance Data Management Data Quality 40

Insight Software

APRIL 14, 2022

One of the biggest demands on real estate finance teams is providing planning and insight into business operations. Having accurate data is crucial to this process, but finance teams struggle to easily access and connect with data. Improve data quality. Near real-time information is vital to: Save time. 30% Siloed.

IBM Maintenance 52

IBM Maintenance Finance IBM cost IBM Support 52

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Other duties include compiling and installing database systems, scaling to multiple machines, and implementing disaster recovery plans.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. One of the best books on building a BI system, hands down. We’re right behind you!

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Data Pine

MAY 17, 2021

3) Easily work with massive amounts of data. Visual discovery is helping expand traditional business intelligence and improve efficiency. If you have multiple databases from different touchpoints, you should look for a tool that will allow data integration no matter the amount of information you want to include.

Data Discovery 64

Data Discovery Data Visualization Visualization Business Intelligence 64

Data Pine

MAY 31, 2022

Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. Segmented usage and adoption. It’s completely free!

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

Insight Software

SEPTEMBER 1, 2023

These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability. Data Privacy and Security Concerns: Embedded predictive analytics often require access to sensitive user data for accurate predictions.

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52

Data Pine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. The purpose is of course to make more money, but it is not just for money’s sake.

Business Intelligence 85

Business Intelligence Business Intelligence Data Analytics Data Analytics 85