Naveego, an emerging leader of cloud-based Data Quality and Master Data Management (MDM) solutions, introduced its Complete Data Accuracy Platform 2018.2.0 that empowers organizations to proactively transform data into viable, actionable information assets across enterprise systems. The platform delivers exceptional data quality in a Big Data world, without the gross complexity and high cost of customized installation and ongoing maintenance that go hand-in-hand with legacy solutions. Using API connections, Naveego’s solution agnostically connects with any type of data where the data resides, eliminating the need to make infrastructure changes. As a result, businesses can achieve, on average, an ROI of 800 percent within 60 days of implementation as compared to years, with legacy data management solutions.
Sydney-based analytics-centric partner Mondelio Worldwide has become a reseller for two companies that have just established Australian presences.
The two vendors are Naveego and SiSense.
Naveego specialises in data accuracy and master data management tools. SiSense is a cloud analytics and data integration platform.
Mondelio’s president Paul Orfanos told CRN his company chose to resell Naveego as it sees an opportunity to help its clients groom their data ahead of transformation projects.
“Digital transformation is causing some organisations a lot of problems,” he said. “Before you transition you need your data to be cleaned. Naveego does that well.”
by Shankho Bhattacharjee on
Naveego Expands Global Reach to Asia Pacific Market – Announces Strategic Partnership with Mondelio to Deliver Complete Data Accuracy Solution for Enterprise Customers
Traverse City, MI & Sydney, AU – June 11, 2019 – Naveego, an emerging leader of cloud-first distributed data accuracy solutions, today announced that the company has expanded its global reach to the Asia Pacific market with Mondelio becoming the first strategic partner in the region. The joint venture combines the power of the NaveegoTMComplete Data Accuracy Platform with Mondelio’s leading corporate performance management and advanced analytics software and services to enable true digital transformation for customers.
TEL AVIV (Reuters) - Israeli business intelligence software provider Sisense said on Wednesday it acquired Periscope Data, a U.S. provider of analytics for cloud data professionals.
It did not provide financial details but a market source said the amount paid was over $100 million in shares.
Sisense has raised about $200 million and its customers include General Electric and Nasdaq while Periscope is used by clients such as Tinder. The combined company will have annual revenue of more than $100 million, over 2,000 customers and more than 700 employees.
I interviewed Amir Orad, an entrepreneur, thought leader and CEO of Sisense, one of the leading business intelligence platforms that allows you to simplify complex data sets and make big data insights accessible for startups and small companies.
In his career spanning more than 25 years, Amir has led and scaled businesses by orders of magnitude in both startup and public-company settings, and has overseen multiple exits and M&As. Before Sisense, he was the chief exec at Actimize, a financial crime and analytics software leader that monitors billions of transactions for the world’s top institutions. There, he led the company’s business functions since it was a $30 million entity, first as EVP and later as President and CEO, and grew the business six-fold with Wall Street reported revenue nearing a $200 million run rate.
Data quality vendor Naveego has announced a collaboration with Sisense around one customer, and while this is not even a formal partnership, they believe that their synergies with BI vendors and ability to work easily with their platforms make such strategic partnerships an important part of their future.
Traverse City, Michigan-based Naveego makes cloud-based Data Quality Solutions that detect and eliminate data quality issues across systems. They have announced a collaboration with business intelligence vendor Sisense to provide a data quality and analytics solution for a customer. The collaboration is the first of its kind for Naveego, and they don’t intend for it to be the last.
Munson Healthcare is the largest healthcare system in Northern Michigan. They currently have more than 540,000 unique patients across 30 counties. There are nine community hospitals in this huge network. To manage such a huge customer base, having an accurate and comprehensive record of patients data had become a prime necessity for them to operate flawlessly. After all, healthcare is all about the highest quality of patient care and productivity for users. There was an asking for a new EMR to enhance operational efficiency. The motive was also to ensure compliance with increasing regulations. Complete Data Accuracy Platform from Naveego was not in their procurement list still. It was assumed that the new EMR will be effective enough to manage their newly acquired hospitals, outpatient facilities, and practice groups. But the new EMR system was not able to help in data integration. Something was seriously missing.
As of last month, there are more than 300 unicorns around the world, according to CB Insights, a New York data purveyor.
The firm has been tracking startup valuations for about 10 years. Each year, it analyzes a variety of data to create a definitive list of private companies that are on their way to a $1 billion valuation.
Five of those companies are based in New York. Here they are:
The data modeling process is arguably the nucleus of deploying cognitive computing technologies and applications across the enterprise today, largely because it’s a requisite for integrating those applications and their data for horizontal use cases.
Consequently, data modeling techniques have kept pace with contemporary data sources and deployments whose value, in most instances, hinges on low latency responses. In 2019, conventional relational data modeling approaches will all but lapse into obsolescence as numerous alternatives—in most cases, purpose-built for real-time use cases integrating heterogeneous data sources—surge to the fore of this facet of data management.