Granularity Is the True Data Advantage
Dataversity
MAY 3, 2024
However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated.
Considerations for MDM and Digital Transformation
The Data Administration Newsletter
APRIL 18, 2023
In today’s digital business ecosystem, digital transformation is no longer an option for modern businesses. The foundation of a business’s digital transformation is effective data management.
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The Data Journey: From Raw Data to Insights
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.
Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release
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.
Self-Service Analytics for Google Cloud, now with Looker and Tableau
Tableau
OCTOBER 8, 2021
Tableau and Google Cloud are working together to make data more accessible and more valuable with integrations between our world-class analytics and the Google applications that power your business. Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey.
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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021
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.
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Self-Service Analytics for Google Cloud, now with Looker and Tableau
Tableau
OCTOBER 8, 2021
Tableau and Google Cloud are working together to make data more accessible and more valuable with integrations between our world-class analytics and the Google applications that power your business. Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey.
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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics
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.
Shift governance and data management to enable, not restrict, your organization
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.
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How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers
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.
Enterprise Innovation: Think Big, Act Small
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.
Shift governance and data management to enable, not restrict, your organization
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.
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Data fabric’s value to the enterprise
Tableau
MAY 11, 2022
When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. May 11, 2022 - 6:16pm. May 11, 2022.
Data fabric’s value to the enterprise
Tableau
MAY 11, 2022
When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. May 11, 2022 - 6:16pm. May 11, 2022.
Enterprise Data Management — Driving Large-Scale Change in Your Organization
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.
Getting Started With People Analytics
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.
Analyze Data Faster with Google Cloud’s BigQuery Storage API
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.
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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms
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, and How To Get It
Insight Software
NOVEMBER 20, 2023
Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it. With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts. And you need that intelligence to feed your BI tool.
Domo Named to Constellation ShortList™ for Multicloud Analytics and Business Intelligence Platforms and ShortList for Embedded Analytics
Domo
AUGUST 4, 2023
The Constellation ShortList helps organizations narrow their search for the technologies they need to meet their digital transformation goals. The company was also named to the first-ever Q2 2023 Embedded Analytics ShortList.
Changes of the business analyst role to match the latest market needs
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.
Quest for the Best Low Code Platforms in 2020
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.
Too Much Data, Too Few Actionable Insights…Too Late!
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.
Unlocking Revenue Streams with BI and Analytics
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.
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Five Steps for Building a Successful BI Strategy
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.
Leveraging Data Analytics and Automation to Create Durable, Agile Supply Chains
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.
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52 Why Avalanche and DataConnect are Better Together … Part 1
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.
7 Features You Should Look for in Your Cloud Data Warehouse Solution Providers
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.
Why CIOs Should Weave Data Fabrics Into Their Orgs
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.
Top Challenges and Opportunities for Chief Data Officers
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.
Exploiting Analytics in the Cloud Without Moving All Your Data There
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.
Unstructured Data Analytics — A Complete Guide
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 Migration Challenges: Strategies for a Smooth Transition
Astera
AUGUST 16, 2024
Data migration is the process of selecting, extracting, preparing, and transforming data, followed by a permanent transfer to a new destination. The new destination can be a new file format, location, storage system, computing environment, database, or data center.
How quickly can you start improving CX through digital
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.
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What Data Practitioners Need to Know (and Do) About Common Language
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.
Is Your Data Making a Difference?
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.
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Do you Need a Data Fabric?
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.
Health Data Management | Challenges and Best Practices
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.
Soft Stuff Uses Analytics to Pivot During Pandemic
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.
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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms
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 Architecture: The Ins and Outs with Whynde Kuehn
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.
What is Data Modernization? Benefits, Importance & Components
Astera
AUGUST 13, 2024
It requires the entire organization, including IT, to prioritize the cultivation, connection, management, analysis, and utilization of data wherever it is located. A data-first modernization approach directs digital transformation efforts towards creating value centered around data rather than focusing on updating technology infrastructure.
A Cost/Benefit Guide to the Data Warehouse
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.
Sisense and Google Cloud: Driving Innovation and Digital Transformation Together
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.
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