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

MAY 1, 2020

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.”. They are going to have different ways of combining numbers into metrics. To us that equals one thing, and that’s risk.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. In a slightly more technically-driven role, a BI developer is responsible for building, creating, or improving BI-driven solutions that help analysts transform data into knowledge, including data dashboards.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Jet Global

OCTOBER 7, 2020

For anyone that needs to develop custom reports and dashboards, it all begins with understanding data entities. What Are Data Entities? Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

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

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. The main challenges were risk mitigation and agility in analytics.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Jet Global

JANUARY 15, 2020

As you’re building your financial intelligence, keep these questions top of mind: Is your company leveraging the right data in decision making? How do you acquire data to fill in metrics, KPIs, or data visuals? What would easier data access for decision making look like? may also need to be integrated.

IT 59

IT Finance Reporting Data-driven 59

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

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. Take the case of mobile gaming company Playrix.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

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 124

Slice and Dice Scorecard Metrics Visualization 124

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Jet Global

DECEMBER 2, 2019

The risk of not clearly identifying and defining these: you’ll attempt to use the wrong tools for the job. Not only will this cost you mountains of wasted time, but you’re also in extreme danger of having the wrong data in front of you or giving it to someone else. A good example of this could be Cost of Goods Sold (COGs).

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Jet Global

JANUARY 5, 2021

Current economic conditions call for greater visibility to inventory and the supply chain and closer attention to key financial metrics. Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

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. Think of it like something that houses the metrics used to power daily, weekly, or monthly business KPIs. roll-ups of many rows of data).

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. Performance metrics appear in charts and graphs. .

Management 73

Management Data Warehouse Interactive Reporting 73

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Metadata 66

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. Enrichment typically involves adding demographic, behavioral, and geolocation data. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Organizations using C360 achieved 43.9%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

JUNE 6, 2023

However, these tools often require manual processes of data discovery and expertise in data engineering and coding. AWS Glue Data Quality is a new feature of AWS Glue that measures and monitors the data quality of Amazon Simple Storage Service (Amazon S3)-based data lakes, data warehouses, and other data repositories.

Data Quality 76

Data Quality Data Lake Data-driven Metrics 76

Cloudera

OCTOBER 25, 2022

Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses. They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. Host-based security.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. The longer you delay your move away from Discoverer, the greater the risk you’ll be left high and dry. Report Distribution.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. You'll have no time for data analysis, certainly not for data actioning. ~

Analytics 118

Analytics Consulting Metrics Experimentation 118

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

SEPTEMBER 19, 2023

Chime’s Risk Analysis team constantly monitors trends in our data to find patterns that indicate fraudulent transactions. However, our legacy data warehouse-based solution was not equipped for this challenge. The AWS Glue streaming jobs generate derived fields and risk profiles that get stored in Amazon DynamoDB.

Analytics 79

Analytics Risk Big Data Machine Learning 79

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Data Migration. Privacy, Risk and Compliance. Let’s take a closer look at the role of DI in the use case of data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. Large, untested workloads run the risk of hogging all the resources. It also provides features like indexing and caching.”

OLAP 87

OLAP Data Lake Data-driven Snapshot 87

Jet Global

JUNE 30, 2021

A chief executive officer (CEO) key performance indicator (KPI) or metric is a relative performance measure that a CEO will use to make informed decisions. By monitoring financial, operational, and staffing metrics, a CEO is able to identify the strengths and weaknesses of a company and leverage these to their advantage.

Metrics 106

Metrics KPI Dashboards Advertising 106

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Risk Management (most likely within context of governance).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

JANUARY 27, 2022

Data analytics is a way to make sense of raw data. Raw data includes market research, sales data, customer transactions, and more. Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

NOVEMBER 16, 2021

Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials. Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials. How to Build Useful KPI Dashboards.

Metrics 84

Metrics Reporting Key Performance Indicator KPI 84

Jet Global

NOVEMBER 15, 2021

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. Since every organization has its own manner of operation, the KPIs or metrics used for tax will vary from one organization to another.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

NOVEMBER 2, 2021

KPIs are a select few metrics that provide insight on the operation of all entities contributing to the supply chain. Metrics help supply chain management track its progress in achieving its goals and respond quickly if needed. How to Build Useful KPI Dashboards. Measurable: Is your metric quantifiable? Download Now.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

Jet Global

JUNE 16, 2021

An operational key performance indicator (KPI) or metric is a measure that a company uses to evaluate its performance. By monitoring operational metrics, a company is able to identify growth opportunities and build on its strengths. COO KPIs are metrics that the COO uses to gauge the performance of all departments within the company.

Metrics 52

Metrics KPI Measurement Recreation/Entertainment 52

Jet Global

MARCH 25, 2024

Now that we have defined what a hospital KPI is and why it is important, let’s discuss what it takes to choose the most effective metrics. The second step in creating a KPI monitoring program is choosing a few metrics within each area of your business. This way you can allocate the right amount of resources to monitoring each metric.

Reporting 52

Reporting KPI Key Performance Indicator Metrics 52

Jet Global

MARCH 23, 2024

The constituents cannot hold their government responsible without having access to periodic reporting on key performance metrics. This task might seem daunting at first, but insightsoftware’s how-to guide on creating useful KPI dashboards can help expedite this process. The baseline is measured when the KPIs are first identified.

Reporting 52

Reporting KPI Metrics Measurement 52

Jet Global

JUNE 25, 2021

The constituents cannot hold their government responsible without having access to periodic reporting on key performance metrics. This task might seem daunting at first, but insightsoftware’s how-to guide on creating useful KPI dashboards can help expedite this process. The baseline is measured when the KPIs are first identified.

Reporting 104

Reporting KPI Metrics Measurement 104