Alation

MAY 11, 2023

Our growth and further expansion of our team in the region underscores the strong demand for global cloud services and data intelligence , highlighting the tremendous market opportunity for digital transformation. David will be in charge of all aspects of our international marketing as CMO.

Digital Transformation 52

Digital Transformation B2B Marketing Data Processing 52

CIO Business Intelligence

JANUARY 24, 2024

Undervaluing unstructured data Much of the data organizations accumulate is unstructured, whether it’s text, video, audio, social media, images, or other formats. These information resources can hold enormous value for enterprises , enabling them to gain new insights about customers and market trends.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

CIO Business Intelligence

JANUARY 12, 2023

Each strategy will be different according to the unique needs of the university, but at a minimum it should include the following: Evaluation of current data estate to understand pinch points and siloes so these can start to be tackled. Comprehensive upskilling programme to overcome data skills gaps.

Data Strategy 84

Data Strategy Strategy IT Consulting 84

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 127

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 127

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Alation

MAY 11, 2023

Our growth and further expansion of our team in the region underscores the strong demand for global cloud services and data intelligence , highlighting the tremendous market opportunity for digital transformation. David will be in charge of all aspects of our international marketing as CMO.

Digital Transformation 40

Digital Transformation B2B Marketing Data Processing 40

erwin

SEPTEMBER 17, 2020

Speed and faster time to market is a driving force behind most organizations’ efforts with data lineage automation. More work can be done when you are not waiting on someone to manually process data or forms. Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 103

Data Warehouse Testing Data Quality Reporting 103

CIO Business Intelligence

JUNE 13, 2022

New technologies hit the market, existing ones evolve, business needs change on a dime, staff comes and goes. So now there’s a focus on ‘transversal transformation,’” Hackenson adds. I thought I was hired for digital transformation but what is really needed is a data transformation,” she says. Customer experience.

IT 144

IT Digital Transformation Strategy Internet of Things 144

AWS Big Data

APRIL 26, 2023

We also split the data transformation into several modules (Data Aggregation, Data Filtering, and Data Preparation) to make the system more transparent and easier to maintain. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.

Manufacturing 120

Manufacturing Forecasting Data Lake Big Data 120

Sisense

MARCH 30, 2021

As an analyst, developer, or even marketing or product leader, it’s more crucial now than ever to put personalized intelligence at the fingertips of the right stakeholders at the right place and time. Advanced data transformation with Custom Code. Parke Hunter is a Product Marketing Manager at Sisense.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

Cloudera

APRIL 19, 2022

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . More importantly, effective data strategies don’t stand still.

Data-driven 89

Data-driven Data Strategy Strategy Big Data 89

Alation

FEBRUARY 20, 2020

Rita Sallam Introduces the Data Prep Rodeo. Which brings me to memorable moment #2 on Tuesday when Rita Sallam took the stage for her drill-down presentation on Self-Service Data Prep. The data prep market has exploded over the last year with Rita mentioning that she was tracking 50 vendors in the space.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

erwin

APRIL 29, 2020

Data is crucial to every organization’s survival. For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Sisense

AUGUST 28, 2020

For starters, unavailability: When data is unavailable, the business is operating without visibility into a specific aspect of its behavior or history. You may have sales data or marketing data or financials, but without the right level of data integrity and availability, you can’t actually use it to make effective decisions.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

IBM Big Data Hub

APRIL 14, 2023

The system calculated the base budget data based on trend as a starting point for the budgeting exercise, with multiple versions provided for better control and movements. The power to take informed decision Al Rabie was able to achieve accurate forecasting during uncertain market conditions by developing 24-month rolling forecast models.

Forecasting 70

Forecasting Sales Dashboards Reporting 70

Cloudera

JUNE 1, 2021

Our partnership with CD&R and KKR will enable us to pursue exciting new markets that offer tremendous growth opportunities. . CDP is gaining tremendous momentum in the market and the rate of adoption in our customers is at an all-time high. Said simply, Datacoral offers a fully-managed service for worry-free data integrations.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Ontotext

NOVEMBER 18, 2021

It’s a dangerous business, putting your product to market. You step onto the market, and if you don’t keep your data, there’s no knowing where you might be swept off to. [1]. Picture this – you start with the perfect use case for your data analytics product. Maybe a little too well.

Visualization 98

Visualization Reporting Metadata Enterprise 98

Sisense

FEBRUARY 26, 2020

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

Smart Data Collective

FEBRUARY 20, 2020

In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. Big Data Transforms Invoicing Software Applications. Before big data became a prominent aspect of invoicing, many SME owners don’t initially see much value in the concept of invoicing software.

Big Data 111

Big Data Software Reporting Interactive 111

Octopai

OCTOBER 6, 2022

Notice a dataset populated from a marketing tool you’ve long since stopped using? Now that you’re feeling free as a bird without all that extraneous data (or heaving a sigh of nostalgia for a particularly sentimental dataset), it’s time to take all the keepers and start the data mapping process. One of those can go. Scrap them.

Testing 52

Testing Visualization Data Transformation Strategy 52

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. This enables organizations to streamline data integration and analytics with OpenSearch Service. Select the secret you created, and on the Actions menu, choose Delete.

Analytics 95

Analytics IT Data Lake Visualization 95

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 130

Data Analytics Diagnostic Analytics Management Analytics 130

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

Cloudera

JULY 21, 2022

Co-author: Mike Godwin, Head of Marketing, Rill Data. Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Cloudera Data Warehouse). Efficient batch data processing.

Metrics 84

Metrics Slice and Dice Data Warehouse Dashboards 84

Octopai

DECEMBER 11, 2022

Commercial enterprises utilized consumer information for marketing without taking appropriate care to keep it private. Data compliance may be good tidings for consumers, customers and clients, but it’s a big pain in the neck for the organizations that need to comply. Data lineage and financial risk data compliance.

Insurance 52

Insurance Risk Metadata Reporting 52

AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. The marketing team created leads based on the event in Adobe Marketo. Let’s take an example.

Sales 70

Sales Visualization Software Marketing 70

Smart Data Collective

AUGUST 14, 2019

CIO reports that big data has helped the gaming industry increase its revenue to $40.6 How Is Big Data Transforming Digital Gaming? Big Data Made Simple wrote a great article on the applications of big data in virtual reality technology.

Big Data 77

Big Data Technology Recreation/Entertainment Machine Learning 77

CDW Research Hub

JUNE 14, 2019

Award recognizes year-over-year HCI sales growth and wins across multiple market segments. Sirius and Force 3 earned the award for achieving year-over-year HCI sales growth and wins in a significant number of accounts across market segments. San Antonio, TX – 14 June, 2019—Sirius Computer Solutions, Inc.

Sales 40

Sales Marketing Data Transformation Optimization 40

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. It doesn’t have to be this way.

ROI 52

ROI Measurement Data-driven Data Transformation 52

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 72

Machine Learning Statistics Modeling Dashboards 72

Dataiku

JULY 15, 2019

Data has always been the foundation of the banking industry. What has changed in recent years, of course, is the amount of data available and the speed at which it is processed as well as the need to quickly respond to market changes.

Marketing 67

Marketing IT Data Transformation 67

Data Insight

JANUARY 21, 2020

Last year almost 200 data leaders attended DI Day, demonstrating an abundant thirst for knowledge and support to drive data transformation projects throughout their diverse organisations. This year we expect to see organisations continue to leverage the power of data to deliver business value and growth.

Internet of Things 52

Internet of Things Cost-Benefit Data Science Data Governance 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

Alation

JANUARY 17, 2023

These help data analysts visualize key insights that can help you make better data-backed decisions. ELT Data Transformation Tools: ELT data transformation tools are used to extract, load, and transform your data. Examples of data transformation tools include dbt and dataform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 107

Data Strategy Strategy Data Governance Marketing 107

CIO Business Intelligence

JUNE 29, 2022

But the features in Power BI Premium are now more powerful than the functionality in Azure Analysis Services, so while the service isn’t going away, Microsoft will offer an automated migration tool in the second half of this year for customers who want to move their data models into Power BI instead. Azure Data Factory.

Data Lake 109

Data Lake Analytics Data Warehouse Machine Learning 109