Data Pine

MARCH 31, 2022

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

ElegantJ BI

NOVEMBER 1, 2022

‘Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.’ that will provide the foundational data for your users. that will provide the foundational data for your users. to achieve their own goals.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Analytics 130

ElegantJ BI

NOVEMBER 1, 2022

‘Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.’ that will provide the foundational data for your users. that will provide the foundational data for your users. to achieve their own goals.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Analytics 130

ElegantJ BI

JUNE 5, 2019

CEO Patel, says, “As the Smarten product evolves, it is truly exciting to see the ways in which business users, data scientists, IT staff and business managers have embraced and adopted advanced analytics as part of the day-to-day and strategic business decision process.”

Data Analytics 130

Data Analytics Data Analytics Data Warehouse Data Visualization 130

ElegantJ BI

JUNE 5, 2019

CEO Patel, says, “As the Smarten product evolves, it is truly exciting to see the ways in which business users, data scientists, IT staff and business managers have embraced and adopted advanced analytics as part of the day-to-day and strategic business decision process.”

Data Analytics 130

Data Analytics Data Analytics Data Warehouse Data Visualization 130

ElegantJ BI

JUNE 5, 2019

CEO Patel, says, “As the Smarten product evolves, it is truly exciting to see the ways in which business users, data scientists, IT staff and business managers have embraced and adopted advanced analytics as part of the day-to-day and strategic business decision process.”

Data Analytics 130

Data Analytics Data Analytics Data Warehouse Data Visualization 130

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

APRIL 27, 2023

These are various sources, like databases or third-party apps such as Salesforce and HubSpot, that contain raw data stored in an unorganized manner i.e., unstructured data Data pipeline tools The ELT data pipeline tools gather and move data from the data sources. What Are the Benefits of a Modern Stack?

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

ElegantJ BI

JANUARY 10, 2019

.” The Smarten approach to augmented data discovery and advanced analytics tools is founded on technology leadership, customer and partner focus and a team environment that enables creativity, innovation and exciting advances in Advanced Analytics.

Data Discovery 130

Data Discovery Data Warehouse Innovation Data Visualization 130

ElegantJ BI

JANUARY 10, 2019

.” The Smarten approach to augmented data discovery and advanced analytics tools is founded on technology leadership, customer and partner focus and a team environment that enables creativity, innovation and exciting advances in Advanced Analytics.

Data Discovery 130

Data Discovery Data Warehouse Innovation Data Visualization 130

ElegantJ BI

JANUARY 10, 2019

.” The Smarten approach to augmented data discovery and advanced analytics tools is founded on technology leadership, customer and partner focus and a team environment that enables creativity, innovation and exciting advances in Advanced Analytics.

Data Discovery 130

Data Discovery Data Warehouse Innovation Data Visualization 130

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Domo

JULY 28, 2022

With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. And we wanted to bring our own data engineering group. Q: What was your initial use case?

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

ElegantJ BI

NOVEMBER 16, 2016

Many organizations have invested time and effort in launching a self-serve business intelligence initiative, only to find that the initiative has failed to deliver the anticipated results. In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data analytics case study: SkullCandy.

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 52

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

ElegantJ BI

NOVEMBER 16, 2016

Many organizations have invested time and effort in launching a self-serve business intelligence initiative, only to find that the initiative has failed to deliver the anticipated results. In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

Many organizations have invested time and effort in launching a self-serve business intelligence initiative, only to find that the initiative has failed to deliver the anticipated results. In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

Astera

NOVEMBER 27, 2023

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Data Pine

JANUARY 24, 2021

All of our experience has taught us that data analysis is only as good as the questions you ask. Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. Don’t ask us why – we didn’t make the rules!

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Inflexion Analytics

AUGUST 24, 2020

The Azure cloud platform provides powerful, yet easy to use cloud-based tools for data transformation , data analytics and data science. This blog provides a brief run through of some of the features of the Azure tools for data analysts and data scientists. Azure Options for Data Analytics.

Data Warehouse 52

Data Warehouse Data Analytics Data Analytics Big Data 52

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. Evolution from MS Excel to Visual Reporting. Modern Visual Analytics Tools.

Visualization 246

Visualization Data Warehouse Business Intelligence Business Intelligence 246

Astera

OCTOBER 19, 2023

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Actian

SEPTEMBER 17, 2019

The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization. Modern Time-Series Databases capture multi-modal data.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Visualization Vision 40

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. If it’s not done right away, then later.

Documentation 247

Documentation Data Visualization Data Mining Data Warehouse 247

Sisense

MAY 28, 2019

Every decade, like clockwork, the Business Intelligence (BI) industry welcomes the next generation of BI platform providers. 2019 can best be described as an era of modern cloud data analytics. 2019 can best be described as an era of modern cloud data analytics.

Data Analytics 89

Data Analytics Data Analytics IBM Support Data Warehouse 89

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Microsoft also releases Power BI, a data visualization and business intelligence tool. who saw the potential that cloud offered.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Sisense

JANUARY 15, 2021

Access to information can be a game-changer for businesses looking to unlock strategic advantages through analytical insights. Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. Furthermore, their scarcity means they command hefty salaries.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

BizAcuity

MARCH 28, 2022

No wonder casinos have full-fledged data analytics teams both in-house and outsourced. The data points related to users/players reside across multiple channels and platforms i.e. websites, apps, CRMs, Ad networks, and financial software.

User Experience 130

User Experience Data Warehouse Planning Data Visualization 130

Sisense

AUGUST 22, 2019

Python, R, and Analytics. SQL is a critical skill for business intelligence. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. These are the types of questions that take a customer to the next level of business intelligence — predictive analytics. .

Predictive Analytics 73

Predictive Analytics Data Warehouse Business Intelligence Business Intelligence 73

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. This design philosophy was adapted from our friends at Fishtown Analytics.).

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Data Pine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87