The document provides a shooting schedule for a film including shot setups, actions, locations, and characters. It details 35 shots ranging from wide shots to close ups showing a girl named Emma at her home interacting with a letter and photos and later her boyfriend Sam who appears in some shots at her home and in the car. The shooting will take place at the girl's home over one day with Amy Tompkins directing and starring as Emma.
Affecto Informatica World Tour 2015: The Age of EngagementAffecto
We are moving from an era of cost optimisation and productivity to an age of engagement. This engagement is with customers, partners, third parties, and machines. At the center of every winning business strategy is data. How to accelerate your organisation’s results using the Intelligent Data Platform to manage data of any type and from any source to drive better business outcomes.
A presentation by Greg Hanson, Vice President Business Operations EMEA, Informatica
Affecto Informatica World Tour 2015: The Age of EngagementAffecto
We are moving from an era of cost optimisation and productivity to an age of engagement. This engagement is with customers, partners, third parties, and machines. At the center of every winning business strategy is data. How to accelerate your organisation’s results using the Intelligent Data Platform to manage data of any type and from any source to drive better business outcomes.
A presentation by Greg Hanson, Vice President Business Operations EMEA, Informatica
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
1. Shot Number Setup Location Characters
3
SHOTS: Wide Shot
ACTIONS: Wide Shot of Window,
Sun blaring as the girl opens
them.
Girl’s Home
(Bedroom)
1
4
SHOTS: Close Up shot of Arms
ACTIONS: Camera panning left
and right on arms, showing sun
on arms
Girl’s Home (Bedroom) 1
5 + 6 + 7
SHOTS: Shot drifts off her left
shoulder onto seat to her left
ACTIONS: Hand on heart letter,
looking out window,
Girl’s Home
(Bedroom)
1
8
SHOTS: Ant view shot
ACTIONS: Walking outside the
room
Girl’s Home
(Bedroom)
1
9+10+11+12
SHOTS: Wide Shot, over the
shoulder shot
ACTIONS: Blur Shot of Lights, Sat
on car, Boyfriend appears
Girl’s Home
(Bedroom)
(Drive)
1,2
13,14,15
SHOTS: Close Up, Wide Shot,
Extreme Close Up
ACTIONS: Getting Old photos
and looking through them,
jumping off car, calendar flick
through.
Girls’ Home
(Drive)
1,2
20,21,22,23,24
SHOTS: Extreme Close Up, Wide
Shot, Mid Shot,
ACTIONS: Blowing out a candle,
Against a wall, stands up and
looks at photos in pocket.
Girl’s Home
(Inside)
1,2
25,26,27,28
SHOTS: Close up over shoulder,
Mid Shot, Wide Shot, Handheld
shot
ACTIONS: Opens letter, getting
into bed and lying down, showing
something with wings.
Girl’s Home
(Inside)
(Bedroom)
1
30,33,34,35
SHOTS: Mid Shot, Blur to not blur
of letter, Wide Shot, Low Angle
ACTIONS: Waking up, Gets letter
from bedside, throwing blanket
over camera,
Girl’s Home
(Inside)
(Bedroom)
1
Director: Amy Tompkins Date: 22th
December 2016
Producer: Amy Tompkins Cast & Crew Time:
Writer: Amy Tompkins Location: Girl’s Home
Lunch Break -
Approx. Wrap Time:
Home Shooting Schedule
2. Character
Number
Character
Name Actor Shot Number
1 Emma
Tompkins
3,4,5,6,7,8,9,10,11,12,13,14,15,20,21,22,23,24,25,26,27,2830,3
3,34,35
2 Sam Bates 9,10,11,12,20,21,22,23,24
