AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! The key to unlock the full potential of this real-time data lies in your ability to effectively make sense of it and transform it into actionable insights in real time.

IoT 93

IoT Analytics Dashboards Data-driven 93

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Laminar Security

APRIL 18, 2023

“Clearly organizations are needing a more scalable, sustainable approach to discovering and governing cloud data.” To achieve comprehensive large enterprise cloud data management, a DSPM must include summarized global data risk reporting as well as drilled-down views based on data sensitivity, security posture or other factors.

Enterprise 52

Enterprise Management Dashboards Snapshot 52

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

datapine

MARCH 31, 2022

Being able to clearly see how the data changes in time is what makes it possible to extract relevant conclusions from it. For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Sisense

JUNE 8, 2020

Datasets are on the rise and most of that data is on the cloud. The recent rise of cloud data warehouses like Snowflake means businesses can better leverage all their data using Sisense seamlessly with products like the Snowflake Cloud Data Platform to strengthen their businesses.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

AWS Big Data

JUNE 28, 2023

When data is used to improve customer experiences and drive innovation, it can lead to business growth. times more likely than beginners to report at least 20% revenue growth. However, to realize this growth, managing and preparing the data for analysis has to get easier.

Analytics 70

Analytics Data Warehouse Data Lake Data-driven 70

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. Risk to the business.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Jet Global

APRIL 20, 2020

A new paradigm in reporting and analysis is emerging. There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report).

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 63

Modeling Data Warehouse Machine Learning Testing 63

datapine

JANUARY 24, 2021

If nothing can be changed, there is no point of analyzing data. But if you find a development opportunity, and see that your business performance can be significantly improved, then a KPI dashboard software could be a smart investment to monitor your key performance indicators and provide a transparent overview of your company’s data.

IT 317

IT Statistics KPI Data-driven 317

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. .

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Jet Global

JANUARY 15, 2020

It’s data analysis instead of just collection and reporting. It’s insight that creates and enables value, not just reporting on business performance. Financial intelligence starts by recognizing something fundamental about financial data. Reporting structures don’t roll up into nice neat hierarchies, and they change.

IT 59

IT Finance Reporting Data-driven 59

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Octopai

JANUARY 8, 2020

You can’t do this easily without automated data lineage tools. Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. You can evaluate and mitigate compliance risks. On the Horizon: Federal Data Privacy Law.

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Birst BI

OCTOBER 30, 2018

Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Add the predictive logic to the data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Jet Global

DECEMBER 23, 2020

On the way there, however, there is a great deal that business leaders can do to rein in costs, reduce risks, and increase the value that ultimately comes out of ERP system upgrades. Allocate Adequate Time and Budget For Reports. Companies implementing a new ERP system may spend as much as 25% of their total budget developing reports.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Sisense

APRIL 24, 2019

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. Taxing the production database for exploratory or duplicative reports is an unnecessary risk.

Sales 111

Sales Optimization Data Warehouse Reporting 111

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Jet Global

DECEMBER 2, 2019

If you’re stumbling across this post through the sea of results researching “business intelligence vs. reporting,” then maybe you’re already familiar with the unlimited interpretations and definitions of these two practices. The risk of not clearly identifying and defining these: you’ll attempt to use the wrong tools for the job.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Jet Global

JULY 29, 2020

User interfaces for ERP reporting tools are most often built with IT staff in mind, not the end user. For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Real-Time Reporting Solutions for Oracle EBS. View Solutions Now.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Jet Global

JANUARY 5, 2021

The investments you make in reporting and business intelligence tools today can provide added value to your current AX system and pave the way for a smoother, less expensive migration process down the road. Reporting Limitations of Dynamics AX. The existing Management Reporter in AX is a legacy tool that comes with limitations.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

Birst BI

NOVEMBER 20, 2018

After a few iterations, this results in a well-defined business question with identifiable supporting data. A foundational data analysis tool is Statistics , and everyone intuitively applies it daily. A stock-out of an item may put a patient’s health at risk, but keeping huge amounts of inventory is very costly.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

AWS Big Data

JANUARY 24, 2023

Business teams can gain meaningful insights by simplifying their reporting through web applications and distributing it to a broader audience. Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer insights to a specific business department.

Analytics 59

Analytics Data-driven Management Reporting 59

CIO Business Intelligence

OCTOBER 19, 2023

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can drill into data, create a variety of visualizations, and (literally) ask questions about it using AI.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. INTERFACE OF BI SYSTEM.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Cloudera

NOVEMBER 25, 2020

Traditional systems are siloed, hard to access and often structured to serve traditional reports. Legacy systems do not scale with the new data needs. How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer.

Data Warehouse 60

Data Warehouse Unstructured Data Analytics Visualization 60

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Inversely though, if your cluster is used for production reporting (i.e. dashboards), it can leave your consumers frustrated with their experience.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). WM saves time and reduces risks during upgrades or migrations. Fixed Reports / Data Engineering jobs .

Management 74

Management Data Warehouse Interactive Reporting 74