AWS Big Data

APRIL 5, 2023

Showpad aligns sales and marketing teams around impactful content and powerful training, helping sellers engage with buyers and generate the insights needed to continuously improve conversion rates. In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. DataOps Observability Starts with Data Journeys. Jason considers his dashboard idea but quickly realizes the complexity of building such a system.

Testing 130

Testing Data-driven Visualization Dashboards 130

Jet Global

FEBRUARY 23, 2024

Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation. Data mapping is important for several reasons.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 billion market by 2025. Let’s look at a few ways that different industries take advantage of streaming data.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

JANUARY 24, 2024

Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. IoT, Web Scraping, API, IDP, RPA Data Processing Data Pipelines and Analysis Layer Employ data pipelines with algorithms to filter, sort, and interpret data, transforming raw information into actionable insights.

IoT 98

IoT Machine Learning Optimization Internet of Things 98

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

Alation

JANUARY 17, 2023

Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data. You should pick those that allow for easy integration and can create beautiful data visualizations. These help data analysts visualize key insights that can help you make better data-backed decisions.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Sisense

APRIL 10, 2020

In this article, we discuss how this data is accessed, an example environment and set-up to be used for data processing, sample lines of Python code to show the simplicity of data transformations using Pandas and how this simple architecture can enable you to unlock new insights from this data yourself.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

Cloudera

FEBRUARY 8, 2021

RNN in general (recurrent neural networks) and LSTM specifically works very well with time-series data. For the avoidance of doubt, we are not purporting to be stock market experts, and nothing in this blog post should be taken as financial advice in any way. b) Basic data transformation. Go to runner.py and run it.

Machine Learning 74

Machine Learning Statistics Modeling Dashboards 74

AWS Big Data

MARCH 3, 2023

The solution Tricentis Analytics aims to address the challenges of high volume, near-real-time, and visually appealing reporting and analytics across the entire Tricentis product portfolio. As the files are created, another process is triggered to load the data from each customer on their schema or table on Amazon Redshift.

Software 52

Software Data Lake Testing Cost-Benefit 52

O'Reilly on Data

JANUARY 17, 2023

At best, you’ll get a model you can put in production right now (short time-to-market), buying your team the time to custom-tune something else (to get better performance). That takes us to a conspicuous omission from that list of roles: the data scientists who focused on building basic models. It does not exist in the code.

Machine Learning 321

Machine Learning Predictive Modeling Software Modeling 321

Sisense

DECEMBER 12, 2019

The 4 signs include: Reporting is done manually in Excel and is time consuming Difficulty pulling and joining data from multiple data sources Inability to access and utilize the data collected to see insights Need for data visualization in real time. Will every department need access to BI and dashboards?

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

Birst BI

FEBRUARY 25, 2020

What gaps does the joint solution address in the market? The benefits of Birst’s cloud-native analytics platform powered by Snowflake’s world-class cloud data warehouse are numerous, especially as cloud becomes the first choice for enterprise data transformation initiatives.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52