RandomTrees

AUGUST 22, 2024

Future Trends in Business Intelligence Business intelligence (BI) continues to evolve rapidly, driven by technological advancements and changing business needs. Artificial Intelligence and Machine Learning Integration AI and machine learning are becoming increasingly central to BI solutions.

Business Intelligence 52

Business Intelligence BI Data Preparation Machine Learning 52

Knowledge Hut

APRIL 25, 2024

However, with Business intelligence dashboards, knowledge is dispersed throughout the organization, enabling users to produce interactive reports, utilize data visualization, and disseminate the knowledge with internal and external stakeholders. What is a Business Intelligence Dashboard?

Business Intelligence 52

Business Intelligence BI Raw Data Data Warehouse 52

Striim

APRIL 18, 2025

But theyre only as good as the data they rely on. If the underlying data is incomplete, inconsistent, or delayed, even the most advanced AI models and business intelligence systems will produce unreliable insights. Ensuring data quality means fewer biases and better outcomes.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

RandomTrees

MARCH 10, 2025

Companies must ensure that their data is accurate, relevant, and up to date to provide useful insights. Data Integration: Combine data from several sources, including as CRM systems, social media, and IoT devices, to generate a holistic perspective.

Retail 52

Retail Data Governance Hospitality Banking 52

Knowledge Hut

JULY 31, 2023

In 2023, Business Intelligence (BI) is a rapidly evolving field focusing on data collection, analysis, and interpretation to enhance decision-making in organizations. You can gain expertise from international experts in Tableau, BI, TIBCO, and Data Visualization through Business Intelligence and Visualization training.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Jesse Anderson

NOVEMBER 15, 2022

My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team.

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Data Governance Government Banking Business Intelligence 130

Cloudera

OCTOBER 23, 2024

Snowflake is one of the most popular platforms for data sharing, business intelligence (BI), reporting, and dashboarding due to its ease of use, self-service capabilities, and the performance of its execution engine.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Snowflake

JUNE 5, 2024

Here are the 2024 winners by category: Industry AI Data Cloud Partners: Financial Services AI Data Cloud Services Partner of the Year: EY Healthcare & Life Sciences AI Data Cloud Services Partner of the Year: Hakkoda Healthcare & Life Sciences AI Data Cloud Product Partner of the Year: IQVIA Media and Entertainment AI Data Cloud Services Partner (..)

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Entertainment Manufacturing Retail Healthcare 127

Precisely

NOVEMBER 5, 2024

While data quality issues are nothing new, the impact of these problems is more impactful on business outcomes than ever before. That’s due to the speed at which advanced analytics, business intelligence (BI), and artificial intelligence (AI) are progressing.

Data Integration 59

Data Integration High Quality Data Data Programming Data 59

Data Engineering Podcast

APRIL 26, 2021

Summary The reason for collecting, cleaning, and organizing data is to make it usable by the organization. One of the most common and widely used methods of access is through a business intelligence dashboard. Superset is becoming part of the reference architecture for a modern data stack.

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Cloudera

DECEMBER 1, 2023

Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

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Building Government Transportation Data Governance 109

ThoughtSpot

SEPTEMBER 13, 2023

Simplify data governance ThoughtSpot simplifies data governance by allowing you to standardize user permissions across various business intelligence solutions in one place. This eliminates confusion and frustration that often arises when different tools have varying definitions and calculation methods.

BI 98

BI Google Cloud Data Governance Business Intelligence 98

Knowledge Hut

JANUARY 24, 2024

Power BI takes advantage of Microsoft's business analytics. The business intelligence market has multiplied in recent years and is anticipated to do so going forward. You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science.

BI 98

BI Business Intelligence Non-relational Database Machine Learning 98

Data Engineering Podcast

JUNE 5, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Can you describe what Skyflow is and the story behind it?

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Data Security Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 16, 2020

Summary The core mission of data engineers is to provide the business with a way to ask and answer questions of their data. This often takes the form of business intelligence dashboards, machine learning models, or APIs on top of a cleaned and curated data set.

Data Management 100

Data Management Management BI Business Intelligence 100

Precisely

APRIL 25, 2024

Jean-Paul sat down for an interview where we discussed his background as a former CDO, the challenges he faced, and how he developed his unique perspective and data governance expertise. After starting my career in banking IT, I turned to consulting, and more specifically to Business Intelligence (BI) in 2004.

Data Governance 69

Data Governance Government Consulting BI 69

Data Engineering Podcast

JUNE 11, 2021

In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems. He shares some of the common patterns for building pipelines to power business intelligence dashboards, machine learning applications, and data warehouses.

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Google Cloud Cloud Big Data Ecosystem Data Warehouse 100

The Modern Data Company

JANUARY 22, 2024

Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines. This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

U-Next

MARCH 7, 2023

Data mining, report writing, and relational databases are also part of business intelligence, which includes OLAP. Give examples of python libraries used for data analysis? Data governance describes how data is collected, stored, processed, and disposed of according to internal standards.

Data Mining 96

Data Mining Government Scala Data Governance 96

Data Engineering Podcast

JULY 10, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 100

Metadata MongoDB MySQL Machine Learning 100

The Modern Data Company

JANUARY 22, 2024

Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines. This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Monte Carlo

JUNE 6, 2023

People that are not proficient in SQL and business intelligence will no longer need to ask an analyst or analytics engineer to create a dashboard for them. Simultaneously, those who are proficient will be able to answer their own questions and build data products quicker and more efficiently.

Data Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

Cloudera

AUGUST 21, 2024

This year, we’re excited to share that Cloudera’s Open Data Lakehouse 7.1.9 release was named a finalist under the category of Business Intelligence and Data Analytics.

Unstructured Data 66

Unstructured Data Business Intelligence Data Architecture Data Warehouse 66

Knowledge Hut

OCTOBER 30, 2023

For any organization to grow, it requires business intelligence reports and data to offer insights to aid in decision-making. This data and reports are generated and developed by Power BI developers. A power BI developer has a crucial role in business management. Ensure compliance with data protection regulations.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Knowledge Hut

DECEMBER 22, 2023

Data visualizations that can be utilized in data science include bar charts, histograms, pie charts, etc. Business Intelligence It would help if you presumed, as a data scientist, that all you need are specialized technical abilities, but you need more than that. Non-Technical Data Science Skills 1.

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Hadoop Deep Learning Data Science Machine Learning 98

Towards Data Science

DECEMBER 4, 2023

There are probably other hundreds of integration points we should consider, moreover we didn’t go beyond just mentioning data transformation and data modeling. We didn’t cover the Data Science domain at all, which probably deserves its own article, same for data governance , data observability , data security , and more.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Precisely

JANUARY 25, 2024

Data Replication Many organizations begin their modernization journey to leverage powerful cloud analytics and decision support tools , including business intelligence, interactive queries, and real-time search. In the data replication pattern, information generally flows in one direction, from the mainframe to the cloud.

Metadata 69

Metadata Relational Database Data Governance Government 69

Knowledge Hut

JUNE 16, 2023

are the ones who hire Data scientists regularly. Business Intelligence Analyst A Business Intelligence analyst is involved in helping organizations to make data-driven decisions by analyzing and interpreting complex data sets. are regularly hiring Business Intelligence analysts.

Data Analytics 52

Data Analytics Business Analyst Consulting Business Intelligence 52

Edureka

AUGUST 26, 2024

How to Become a Business Intelligence Manager? Job profiles also disclose the abilities required to succeed in this industry and become an authority in data analytics, business intelligence, and data visualization. Additionally, they should have a solid grasp of the Microsoft business intelligence stack.

BI 52

BI Business Intelligence Consulting Certification 52

DataKitchen

FEBRUARY 18, 2022

Data is unique in many respects, such as data quality, which is key in a data monetization strategy. Data governance is necessary in the enforcement of Data Privacy. Automation and orchestration in an interoperable hybrid cloud distributed data landscape is where DataOps excels.

High Quality Data 52

High Quality Data Business Intelligence Data Pipeline Government 52

The Modern Data Company

FEBRUARY 2, 2023

If ad hoc requests are being answered using the exact same underlying data, governance, and security infrastructure as self-service requests, then it becomes that much easier to migrate a new process from manual ad hoc status to fully self-service.

Government 98

Government Data Governance Machine Learning SQL 98

Knowledge Hut

NOVEMBER 2, 2023

Microsoft has developed two potent business intelligence tools, MS BI (Microsoft Business Intelligence) and Power BI, to help organizations extract valuable insights from their data. These tools have been thoughtfully designed to cater to a diverse range of needs and aspects of the data analytics process.

BI 52

BI Business Intelligence SQL Cloud 52

Snowflake

JANUARY 23, 2023

Our research found that the majority of Data Cloud customers already use leading technologies that fall into either integration and modeling or business intelligence, and 92% of customers that appear in the Global 2000 use tools from Snowflake or one or more of its partners. Of that group, 75.7%

Data Integration 85

Data Integration Data Data Warehouse Cloud 85

AltexSoft

MARCH 14, 2023

Data uses Here comes why you need this whole MDS thing in the first place — the data use component, or how the data is actually utilized. There are two main areas of use within this component: the first is data analytics and business intelligence and the second is data science.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

APRIL 23, 2024

Data Warehousing A data warehouse is a centralized repository that stores structured historical data from various sources within an organization. It is designed to support business intelligence (BI) and reporting activities, providing a consolidated and consistent view of enterprise data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Monte Carlo

JANUARY 16, 2024

So how does Fox’s data strategy support these complex data workflows? And with so many data teams across functions, how does Fox approach data governance? Keep data governance approachable Like filing those pesky expense reports, data governance can feel like a necessary evil.

Government 52

Government High Quality Data Data Governance Entertainment 52

Cloudera

DECEMBER 2, 2020

The Cloudera data platform became a single source of truth, making it possible to provide advanced customer analytics, such as predictions around the likelihood of purchase or churn, personalization through recommendation engines, operational improvement, and near real-time customer care support. Rebounding to positive revenue .

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Telecommunication Data Science Business Intelligence Data Warehouse 67