Sisense

SEPTEMBER 9, 2019

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Like any other data project, it won’t be instantly clear what your data model should look like.

Predictive Analytics 75

Predictive Analytics Data Modelling Digital Transformation Digital 75

Tableau

OCTOBER 14, 2021

IT also is the change agent fostering an enterprise-wide culture that prizes data for the impact it makes as the basis for all informed decision-making. Culture change can be hard, but with a flexible data governance framework, platform, and tools to power digital transformation, you can accelerate business growth.

Government 70

Government Data Management Data Governance Cybersecurity 70

Actian

JUNE 17, 2019

“We have more data than we know what to do with.”. Companies have been collecting large amounts of data for years in their ERP, CRM, HR, ITSM systems and many others. With digital transformation of business processes, even more data is being generated about operational processes.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Business Bullet

FEBRUARY 8, 2020

Design thinking , system thinking techniques, digital transformation experience and use of agile has become more important to business analysis as a result. Cloud technology, big data and machine learning have grown in popularity and use and can be termed as disruptive technologies. Disruptive technologies.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Digital Transformation 52

Astera

OCTOBER 7, 2022

Modern enterprises continue to embrace digital transformation at scale — with business analytics at the forefront of this revolution. Across industries, organizations generate a massive volume of data. It’s fair, given the unstructured data may hold valuable insights to augment a business’s market competitiveness.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Domo

OCTOBER 22, 2021

For enterprises to achieve efficiencies and better position themselves to respond to a constant rate of change, it’s important for CIOs to install a more-nimble-yet-unified data fabric. What is a data fabric? A data fabric is an increasingly popular and important term in the digitally transforming world.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

JANUARY 23, 2023

Source: Precedence Research The increased volumes of information, varying in type and velocity, present immense potential to derive value from this information and aid the digital transformation of the healthcare industry.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Clarasys

OCTOBER 19, 2021

What kind of data is held? Who needs the data? It’s important to understand your as-is architecture, data model and capability so you know what purpose each system (or even spreadsheet) might serve. If you fit into scenario 2, then improving CX through digital may take a while. This does not mean it is impossible.

Digital 52

Digital Customer Experience Customer Experience Digital Transformation 52

Actian

MARCH 3, 2020

It enables you to abstract your data from systems that are physically and logically different into a common set of data objects so you can treat them as a unified enterprise data set. Demand for real-time and event-driven data for decision making. Growth in operational analytics and business-led data modeling activities.

Artificial Intelligence 40

Artificial Intelligence Digital Transformation Real-time Data Data Modelling 40

Actian

MAY 21, 2019

The refinement process starts with the ingestion and aggregation of data from each of the source systems. This is often done in some sort of data warehouse. Once the data is in a common place, it must be merged and reconciled into a common data model – addressing, for example, duplication, gaps, time differences and conflicts.

Big Data 40

Big Data Data Warehouse Artificial Intelligence Digital Transformation 40

Sisense

MARCH 23, 2020

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data.

Retail 64

Retail Digital Transformation Big Data Data Modelling 64

Bridging the Gap

NOVEMBER 16, 2022

Our core teachings are around process analysis, like in process analysis , use cases , data modeling , which goes to that glossary of terms that you were talking about, and how to manage a whole project or really an initiative. LAURA BRANDENBURG: Well, thank you so much for that. The first is just being very business minded.

Business Architecture 52

Business Architecture Digital Transformation Portfolio Management Vision 52

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. With data at its core, the Customer 360 is a key enabler for digital transformation.

Business Intelligence 70

Business Intelligence Business Intelligence Government Visualization 70

Sisense

SEPTEMBER 12, 2019

Their BI strategy took into consideration their sensitive data, huge distribution channels, and the need for better governance to reach one version of the truth. Building on this strategy, Nasdaq provides its customers with dashboards, but it does not provide them with the ability to work directly on the data models.

Government 81

Government Documentation Business Intelligence Business Intelligence 81

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. With data at its core, the Customer 360 is a key enabler for digital transformation.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Dataversity

MARCH 18, 2022

Redman) served as the judge in a mock trial of a data architect (played by Laura Sebastian Coleman) […]. The post What Data Practitioners Need to Know (and Do) About Common Language appeared first on DATAVERSITY. Weinberg [1] In March 2019, one of us (Thomas C.

Chief Data Officer 130

Chief Data Officer Digital Transformation Data Governance Data Quality 130

Whizlabs

APRIL 19, 2021

It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. He is a driven executive and a military veteran who helps in casting innovative digital transformation for companies and measurably builds on it. Digital transformation is Sven’s passion.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

DECEMBER 3, 2019

Even though we create a tremendous amount of it (90% of the world’s data was created in the past year), research shows that we are only using 1% of this data. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. On-demand compute resources and MPP cloud data warehouses emerged.

Embedded Analytics 90

Embedded Analytics Data Warehouse Digital Transformation Digital 90

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Without the right tools, this task can be nearly impossible.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Data Security 8

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Actian

JULY 29, 2019

Your company has competing data needs. You need IT systems optimized for real-time transaction processing to serve as the engine for digitally transformed business processes. You also need your data aggregated and optimized for analytics to generate both real-time insights and perform deep data-mining activities.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

BizAcuity

MARCH 31, 2022

Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. Predictive Analytics: Predictive analytics is the most talked about topic of the decade in the field of data science.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Insight Software

MAY 12, 2023

These challenges have spurred a wave of digital transformation initiatives across industries. And that’s where data, analytics, and automation tools come in. These powerful tools help businesses build resilient and agile supply chains that can withstand even the most unpredictable operating environments.

Supply Chain 52

Supply Chain Data Analytics Data Analytics Agile 52

Astera

DECEMBER 21, 2022

Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 It is high time you explore which solutions can help you optimize your data warehousing system. billion by 2026.

Data Warehouse 52

Data Warehouse Cloud Computing Cybersecurity Data Modelling 52

Sisense

JULY 6, 2020

Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Sisense

OCTOBER 27, 2020

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. that you’ll be using.

Digital Transformation 74

Digital Transformation Data Modelling Planning Digital 74

Sisense

JULY 8, 2020

Partnering with your data team can help you get the most out of early wins by building versatile data models that can be used for multiple applications. Using a standardized data model allowed the team to tackle their customers’ other high priority needs quickly.

Enterprise Innovation 107

Enterprise Innovation Innovation Healthcare Data Modelling 107

Marutitech

NOVEMBER 13, 2020

Some of these include automating processes, accelerating digital transformation, and meeting business demands for development. One of the main factors for the rise of the low code development model is faster deliverability and better innovation. Offers declarative data modeling.

Visualization 98

Visualization User Experience Documentation Agile 98

Sisense

FEBRUARY 24, 2021

This situation can quickly pose a dilemma for the chief data officer. Do they stifle innovation because a group or application doesn’t fit into their overarching data model? Or do they encourage novel ideas at the risk of having unconnected data? Charles Holive is the chief monetization officer at Sisense.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Sisense

APRIL 7, 2020

The BigQuery Storage API provides teams with faster access to their managed storage via an RPC-based protocol, using multiple data streams in the same session to read disjointed rows from a table. This reduces data movement and increases efficiencies for teams. said Aviad Harrell, Chief Operating Officer and Co-founder of Sisense.

Big Data 86

Big Data Data Warehouse Digital Transformation Product Management 86

Sisense

JUNE 16, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

E-Commerce 69

E-Commerce Digital Transformation Planning Big Data 69

Actian

JUNE 4, 2019

The value of your company’s realized business insights is directly dependent on the quality of data with which you are working. To maximize your potential value, continuous data maintenance is needed.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Sisense

MAY 21, 2020

With 70% of the data model now replicable across all customer accounts, Trax’s team saves considerable implementation time and their customers are empowered to build amazing data experiences on their own within a single platform.

Digital Transformation 98

Digital Transformation Innovation Digital Retail 98

Sisense

MAY 18, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. That’s not always easy.

Digital Transformation 98

Digital Transformation Digital Data Modelling User Experience 98

Sisense

SEPTEMBER 3, 2020

In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. Selecting and implementing a new BI and analytics platform is a big decision and can be a vital part of an organization’s digital transformation.

Government 105

Government Visualization Embedded Analytics Agile 105

Insight Software

FEBRUARY 20, 2024

As inflation and possible economic stagnation continue to be at the forefront of business leaders’ minds, implementing a digital transformation strategy is a growing way to combat those concerns. Many operational reporting teams remain buried under static PDF reports or rigid native ERP functionalities.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52

Insight Software

JULY 13, 2023

Your on-prem or cloud-hosted Jet Analytics implementation enables you to pull data from different systems, transform them as needed, and build a data warehouse and cubes or data models. You can refresh those reports as needed without waiting for input from IT, even if you are reporting across multiple companies.

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert Finance 52