Data and Analytics involves all kinds of businesses to leverage data/ information already available and make informed decisions. The objective is to move from a historical data analysis to a "near real time" data driven business. This predominantly involves - Data Collection - Data Collation - Data Compilation - Data Structuring with respective cleaning - Data Lake/ Data Warehouse build - Data Analysis using Microsoft PowerBI There are 3 data analytics stages for any business 1. Descriptive Analytics - Low Competitive Advantage/ Decreased efficiency improvement, cost saving opportunities : This is how most businesses analyze data, they analyze historical data and take future decisions. But descriptive analysis only tells us " What is happening?" 2. Stage 2 of Descriptive Analytics - Tells us "Why is it happening?" 3. Predictive Analytics - Gives high competitive advantage and increases efficiency improvement and increases cost savings: This level gives business a view of what is probably going to happen and how to correct course and ensure that business operates effectively in all aspects 4. Prescriptive Analytics - This is quite evolving with use of Python/ ML/ AI and needs lot of work all of the above needs to be done before reaching this juncture I had done similar projects for companies in multiple verticals and from $20 Million Turnover to $450 Million Turnover and the key outcomes are 1. Complete "Data driven culture" in the managerial and decision making level. No rules of thumb/ experience based decisions. 2. Realized savings of roughly 12% to 15% in Cost of Production for Manufacturing industries. 3. On demand visualization and data analysis available "anywhere" and "anytime" across devices and systems for reference/ decision making at top management level
1. Data Driven business culture can be set in a period of 4 to 6 months 2. Direct cost reduction on cost of production/ services by 12% to 15% over a 6 to 9 month period 3. Build/ Operate/ Transfer model, so that client teams can handle it in future with little or no "time & effort" investment from my end post project completion with full knowledge transfer.
The consultants, consultancies, agencies & SIs in our global network execute important systems and data project work including, but not limited to:
- Select and deploy a data warehouse solutions like Snowflake, BigQuery and others
- Set up dashboards in Power BI, Tableau or Google Data Studio
- Power customer data collection using RudderStack, Segment, Tealium or similar
- Implement product analytics solutions like Mixpanel or Amplitude
- Build data pipelines in Azure, AWS and Google Cloud
- Transform data using dbt, Fivetran and similar
- Plus heaps of data & analytics services reaching into complex AI/ML initiatives
The MeasureMatch global network of professionals is highly skilled, many are certified service providers with proficiencies across more than 3,000+ tools and products including the Adobe Experience Cloud stack, the Google Marketing Platform and Google Cloud suite of tools, Segment, Mixpanel, Intercom, Hubspot, DOMO, Power BI, Tableau and 1,000s more.
Every one of the MeasureMatch network of service providers has been through a stringent application process, including an interview to ensure relevance of Service providers and quality of delivery. And each is fully aware of the how the platform works, including the commercial framework.
It's easy and incredibly fast to find and book an incredibly valuable professional services partners through the MeasureMatch marketplace platform.
And, because we handpick and screen all service provider applicants, or they are invited by technology vendors participating in the MeasureMatch Partner Exchange, we're seeing more than 95% of contracts rated 5 full starts by clients (as of September 2023).
Whether it's Salesforce, Microsoft Dynamics, HubSpot, Intercom or Freshsales skills you need - to name a few in one of our most popular services categories (CRM & Marketing Automation), MeasureMatch has the skills and pros you need.
3,000+ skills across 10,000+ systems & data services professionals are accessible via the MeasureMatch marketplace and partnerships platform.
You'll have direct, seamless and flexible access to a highly-skilled, verified workforce of independent consultants, consultancies, agencies and even system integrators, each armed with the skills to advance customer and product data collection, data engineering, data pipeline management, marketing analytics, marketing automation, personalization, programmatic media investment management and much more.
On one side, through a Client account, the platform is for business leaders who need to solve for, address and advance any number of cloud software systems and/or data challenges, and they are open to embracing service providers located anywhere across the globe to get the work done.
On another side, with a Service Provider account, MeasureMatch is for consultancies, agencies, system integrators and independent consultants to provide exceptional systems & data professional services.
The third entry point into MeasureMatch, the Partner Exchange, is for SaaS and enterprise software vendors, and a growing number of other types of organizations, to use a set of tools grow and deepen service provider relationships for customer success, go-to-market partnerships, and more.