The problem of data quality in the enterprise database still afflicts many organizations, even those who profess to like more ” data-oriented ” or “data – focused”. The volatility and variability of important new sources of data greatly complicate the…
It is a huge but still widely untapped asset. We’re in a digital economy where data is more valuable than ever. Organizations combine their internally generated data with third-party data sources to design and launch new products and services. The so called “data exhaust” denotes the real time production of vast amounts of information in binary codes while individuals performs every day tasks on their computers and mobile handhelds.
We’re definitely immersed in the data.
Every day, we create 2.5 quintillion bytes of data. To put that into perspective, 90% of the data in the world today has been created in the last two years alone. As the cost of computers and computer storage has plummeted over the last 60 years, the number of databases has skyrocketed. And while gigabytes of data get amassed in corporate computers and servers at an unprecedented speed, ensuring data quality, consistency and optimized structure, as well as taking full advantage of its information potential which is often times fragmented across multiple, not integrated files, becomes a true challenge.
With the wide availability of sophisticated statistical software and many well-trained professionals, there is a keen desire to analyze all of this data in-depth. Unfortunately, after beginning their efforts, many organizations realize that their data is too messy to analyze without major data processing.
a leading professional services company that markets cloud-enabled business applications to SMBs in Italy and that is entirely focused on helping companies and professionals improve their data fitness-to-use first, and then get the most out of it through effective and powerful reporting and data visualization tools.
Data Quality and Matching Services
You may be deploying a new Customer Relationship Management (CRM) or e-mail marketing platform to your organization, or migrating your data to another business system: these are only a few examples of the situations where you get particularly concerned with the quality of your data.
Our team of Data Scientists use specialized software with AI and fuzzy logic capabilities to perform list and dataset de-duplication, cleansing, restructuring/optimization and matching with other third-party data sources in a highly effective way.
Some examples of the tasks that we can perform on your raw data:
- Data cleaning and data type normalization
- Data de-duplication and merge
- E-mail list checking
- List matching with third-party datasets (e.g. with market research databases)
- Cross-referencing of different datasets
- Fuzzy matching to detect similar but not identical records in datasets
Online Database Design Services:
and automation engine that allows you to automate recurring tasks
and enhance your team’s performance and productivity.
Data Analytics and Visualization Services
A primary goal of data visualization is to turn data into information by clearly and efficiently convey it to the interested users in the form of statistical graphics, plots, and charts. Effective visualization helps users analyze the data and derive “intelligence” and evidence from it, which ultimately results into better decision making. We can assist you deploying some of the most popular and advanced data visualization tools that will “make your data speak”:
– Zoho Reports
– Google Fusion Tables
What if you can more quickly and easily achieve your business goals? Now you definitely can, with cognitive computing and machine learning backing up your company strategies. Talk to you today!
Our Team can combine the latest Data Science theory learnt at premier institutions (Columbia University, MIT) with their “data acumen” developed thru several years of data management practice to offer you the best possible service.
The greatest value of a picture is when it forces us to notice what we never expected to see.
The market for Big Data is rapidly entering a phase of “mass maturity” and advanced solutions for Business Intelligence and data analysis have now made their entry in many industries, enabling companies that adopt them to achieve new levels of…
The acquisition of LinkedIn by Microsoft for $ 26.2 billion gives us some useful data management lessons from which every company can learn from. Data is the lifeblood. The Data – as – a – service are like a transfusion….
0.06 € per record
Up to 5000 records
0.04 € per record
Up to 15000 records
0.032 € per record
Up to 25000 records
0.03 € per record
Up to 50000 records
More than 50000 records
Data Privacy Guaranteed
Upon taking your project, we go into a Non-Disclosure Agreement with your company thus committing to treat your data with the utmost care and confidentiality.